## Welcome! This repository contains the official FTC SDK from https://github.com/FIRST-Tech-Challenge/FtcRobotController. It has the addition of our Titan Robotics Framework Library (TrcLib) and its dependencies. These are added as git submodules so that they can be independently managed without the need of changing the FTC SDK (except for minor gradle changes to tie in our Framework Library dependencies). Therefore, you can pick up the latest changes of our Framework Library without affecting the FTC SDK. It serves as a clean repository template for the start of a new season. This template also contains basic team code that implements a mecanum drive base with teleop control. It allows you to run a simple mecanum robot in TeleOp almost right out of the box. In addition, it includes autonomous infrastructure code that uses our FtcChoiceMenu for selecting autonomous strategies and other autonomous choice opotions. This allows you to write only one autonomous opmode to handle many permutations of autonomous. For example, one autonomous opmode can handle both red and blue alliances. The template also provides a rich set of Tests for diagnosing robot hardware and/or for tuning. ## Getting Started To use this repository template, you can clone or fork this template repository to your own github repositories. There are many ways to do it but I am going to describe one way which is using GitHub Desktop. If you are more familiar with other similar tools, feel free to use it instead. * On a web browser, enter the URL https://github.com/trc492/FtcTemplate. * Then, click the "Fork" button near the upper right corner of the web page and answer the question on where you want to fork this repository to your GitHub repositories. * Once the fork is done. Clone your GitHub repository to your computer using your favorite GitHub tool such as GitHub Desktop. * On GitHub Desktop, click File->Clone repository..., select the repository you just forked and type in the path on the computer where you want to clone the repository to. Congratulations! You just clone our template repository. Now you can fire up Android Studio and import this gradle project. Once that is done, you can now go to TeamCode and browse around the provided template code or sample code. You can compile the code and check if you have any issues with the cloned template. Or you can jump right in and start modifying/customizing the code. ### TeleOp Driving a Mecanum Robot Right Out Of The Box Since this template already contains basic code for a mecanum robot base, it takes very few modifications to make it work with your mecanum robot. * In RobotParams.java, update the string constants HWNAME_xxDRIVE_MOTOR corresponding to the hardware names of the four driving wheel motors in your robot config. * Compile the code and deploy it to the robot. * Place your robot on a stand so that the wheels can be free running without the robot running away from you. When looking down on the robot, the mecanum wheel rollers should form an X. If not, switch the mecanum wheels around until they form an X. On the Driver Station, activate your robot configuration. Select a TeleOp Opmode on the Driver Station called FtcTest. Press the init button to initialize the opmode. Press the D-pad down button on your driver gamepad until the "Test" shown on the Driver Station is on "Drive motors test". Press the D-pad right button to select the test. Then press the "Play" button on the Driver Station to start the opmode. This test will run each of the four driving wheels one after the other for 5 seconds each in the sequence of Left Front, Right Front, Left Back and Right Back. Note the rotation direction of each wheel and make sure they would have run the robot in the forward direction if the robot were placed on the ground. If any of the wheels are rotating in the wrong direction, correct them in RobotParams.java. Change xxDRIVE_INVERTED from true to false or vice versa to reverse the corresponding driving wheels until the test shows all four wheels rotating in the correct direction. That's it. Your robot is now ready to be driven in TeleOp mode. The default drive mode is "Arcade Mode". It means the left stick on the driver gamepad controls the X and Y direction of the robot. The X-axis of the right stick controls the rotation. If you prefer, you can change the drive mode to "Holonomic Mode". In this mode, the Y-axis of the left stick controls the Y direction of the robot. The X-axis of the right stick controls the X direction, the left trigger controls turning left and the right trigger controls turning right. To change to this mode, change ROBOT_DRIVE_MODE in RobotParams.java to DriveMode.HOLONOMIC_MODE. In addition, there are a few more buttons on the driver gamepad that modify how the robot is driven. Click the right bumper on the driver gamepad will toggle between Robot and Field Oriented driving modes. Our library also supports Inverted driving mode allowing the robot to switch the front and back end. This is useful for a robot that has an end effector such as an intake at the back so that the drivers can drive the robot around as if the intake is in front. Press and hold the left bumper allows you to drive the robot at slow speed. This is useful for delicate movement of the robot. ### Making Drive Base Odometry Work Our library supports both drive wheel motor odometry (using drive wheel motor encoders) and passive wheel odometry (aka dead-wheel odometry or odo pods). To select which odometry to use, change RobotParams.Preferences.useExternalOdometry to true to use passive wheel odometry or false to use drive wheel motor odometry. When using odo pods, you need to provide the odo pod placement info relative to the robot's center of rotation (*_ODWHEEL_*_OFFSET in RobotParams). To determine the robot's center of rotation, draw a rectangle with each drive wheel being the corners of the rectangle. The center of rotation is the center point of this rectangle. It is very important to provide accurate distance offsets of each odo pod wheel to the robot's center of rotation because this affects the accuracy of the odometry calculation. We recommend measuring the offset distances from the CAD model if possible. Measuring the offset distances by hand introduces error in the odometry calculation that causes odometry drift and therefore not recommended. Our library uses ENU (East-North-Up) coordinate system for the robot which means robot's center of rotation on the ground is the origin with X-axis pointing to robot right, Y-axis pointing to robot forward and Z-axis pointing up. Therefore the left odo pod will have a negative x-offset from robot's center of rotation and the right odo pod will have a positive x-offset from robot's center of rotation and so on. Even though our library supports 2 to 4 odo pods, the template code assumes you are using 3 odo pods, 2 pointing forward parallel to the driving wheels (parallel odo pods), typically one on the left and one on the right (Y-axis) and one pointing sideway (X-axis), the perpendicular odo pod. Our library uses gyro (IMU) to keep track of the robot heading. In theory, it could use the odo pods to calculate the robot's heading but gyro is much more accurate than using odo pods. The picture below shows a typical arrangement of three odo pods on an 18-inch by 18-inch robot. The left parallel odo wheel has the location at (-7.5, 1.5), right parallel odo wheel at (7.5, 1.5) and the perpendicular odo wheel at (0, -6). All units are in inches. **Odo Wheel Layout**  The next step is to determine the odometry scales (X and Y). This is applicable for both drive wheel motor odometry and odo pods. Generally, encoders give you values in the unit of counts (or ticks). To be more useful, we would like the odometry values to be in real world units such as inches or meters. Our library will scale the odometry to the unit of your choice. There are two ways to determine the odometry scales, one is to calculate it by providing info such as odo wheel diameter, encoder CPR (Count-Per-Revolution) etc. See RobotParams.ODO_WHEEL_* and RobotParams.*POS_INCHES_PER_COUNT. Another way is to calibrate the scales empiracally. This can be done by first setting the X and Y scales to 1 so that the reported units are unscaled and therefore in the unit of encoder counts. Then, reset all the encoders and manually drive the robot in either the X or Y direction for a distance when calibrating X or Y scales. Measure the distance traveled. Then scale = distanceTraveled / unscaledCount. To minimize calibration error, drive a longer distance (at least 6 to 8 feet). Then update the *_INCHES_PER_COUNT variables with the calculated scale. Repeat the calibration again to check if the reading is within some tolerance of the actual measurement. If not, calculate the new scale by newScale = oldScale * actualValue / reportedValue. Repeat this process until the reported value is within some tolerance of the actual measurement. Once you have the odometry scales calibrated, you should be able to drive the robot around and odometry will keep track of the robot location on the field relative to its start location. ### Creating Subsystems Once the drive base is fully functional, the next step is to create subsystems for the robot such as Elevator, Arm, Intake, Grabber etc. It is a good practice to create subsystems as separate Java classes that encapsulate all hardware related to those subsystems. To create a subsystem, follow the steps below: 1. Create a Java class in the subsystems folder (e.g. Slide.java). ``` public class Slide { private final TrcMotor slideMotor; /** * Constructor: Creates an instance of the object. */ public Slide() { FtcMotorActuator.Params slideParams = new FtcMotorActuator.Params() .setMotorInverted(RobotParams.SLIDE_MOTOR_INVERTED) .setLowerLimitSwitch( RobotParams.SLIDE_HAS_LOWER_LIMIT_SWITCH, RobotParams.SLIDE_LOWER_LIMIT_INVERTED) .setUpperLimitSwitch( RobotParams.SLIDE_HAS_UPPER_LIMIT_SWITCH, RobotParams.SLIDE_UPPER_LIMIT_INVERTED) .setVoltageCompensationEnabled(RobotParams.SLIDE_VOLTAGE_COMP_ENABLED) .setPositionScaleAndOffset(RobotParams.SLIDE_INCHES_PER_COUNT, RobotParams.SLIDE_OFFSET) .setPositionPresets(RobotParams.SLIDE_PRESET_TOLERANCE, RobotParams.SLIDE_PRESETS); slideMotor = new FtcMotorActuator(RobotParams.HWNAME_SLIDE, slideParams).getActuator(); // // Delete or comment out the following three statements if you want to use motor native PID control // (aka RUN_TO_POSITION) instead of software PID control. // slideMotor.setSoftwarePidEnabled(true); slideMotor.setPositionPidParameters( RobotParams.SLIDE_KP, RobotParams.SLIDE_KI, RobotParams.SLIDE_KD, RobotParams.SLIDE_KF, RobotParams.SLIDE_IZONE, RobotParams.SLIDE_TOLERANCE); slideMotor.setStallDetectionEnabled( RobotParams.SLIDE_STALL_DETECTION_DELAY, RobotParams.SLIDE_STALL_DETECTION_TIMEOUT, RobotParams.SLIDE_STALL_ERR_RATE_THRESHOLD); // // If you are using motor native PID control, you need to set PID tolerance. // slideMotor.setPositionPidTolerance(RobotParams.SLIDE_TOLERANCE); // // Stall protection will detect motor stall and cut power to protect it. This is also required if // you want to enable zero calibration by motor stall (e.g. don't have lower limit switch). // A motor is considered stalled if: // - the power applied to the motor is above or equal to stallMinPower. // - the motor has not moved or movement stayed within stallTolerance for at least stallTimeout. // Note: By definition, holding target position doing software PID control is stalling. If you decide to enable // stall protection while holding target, please make sure to set a stallMinPower much greater than the // power necessary to hold position against gravity, for example. However, if you want to zero calibrate // on motor stall, you want to make sure calPower is at least stallMinPower. // slideMotor.setStallProtection( RobotParams.SLIDE_STALL_MIN_POWER, RobotParams.SLIDE_STALL_TOLERANCE, RobotParams.SLIDE_STALL_TIMEOUT, RobotParams.SLIDE_STALL_RESET_TIMEOUT); } public TrcMotor getSlideMotor() { return slideMotor; } } ``` 2. In Robot.java, add a public class variable in the Subsystem section. ``` public TrcMotor slide; ``` 3. In the constructor of Robot.java, under the Subsystem section, add code to create and initialize the subsystem. ``` if (RobotParams.Preferences.useSlide) { slide = new Slide().getSlideMotor(); } ``` 4. In RobotParams.java, add a Preferences that can turn the subsystem ON or OFF. This is very useful when developing code for an unfinished robot where some subsystems may or may not exist yet. ``` public static boolean useSlide = true; ``` 5. In RobotParams.java, add a HWNAME for the subsystem. This will become either the name or name prefix for the hardware in the robot configuration (e.g. slide.motor, slide.lowerLimitSw etc). ``` public static final String HWNAME_SLIDE = "slide"; ``` 6. At the end of RobotParams.java, under the Subsystem section, add constants that characterize the subsystem. ``` public static final boolean SLIDE_MOTOR_INVERTED = false; public static final boolean SLIDE_HAS_LOWER_LIMIT_SWITCH = true; public static final boolean SLIDE_LOWER_LIMIT_INVERTED = false; public static final boolean SLIDE_HAS_UPPER_LIMIT_SWITCH = false; public static final boolean SLIDE_UPPER_LIMIT_INVERTED = false; public static final boolean SLIDE_VOLTAGE_COMP_ENABLED = true; public static final double SLIDE_ENCODER_PPR = GOBILDA_5203_312_ENCODER_PPR; public static final double SLIDE_PULLEY_DIAMETER = 1.405; public static final double SLIDE_PULLEY_CIRCUMFERENCE = Math.PI*SLIDE_PULLEY_DIAMETER; public static final double SLIDE_INCHES_PER_COUNT = SLIDE_PULLEY_CIRCUMFERENCE/SLIDE_ENCODER_PPR; public static final double SLIDE_POWER_LIMIT = 1.0; public static final double SLIDE_OFFSET = 0.0; public static final double SLIDE_MIN_POS = SLIDE_OFFSET; public static final double SLIDE_MAX_POS = 24.0; public static final double SLIDE_POS_1 = 6.0; public static final double SLIDE_POS_2 = 12.0; public static final double SLIDE_POS_3 = 18.0; // Power settings. public static final double SLIDE_CAL_POWER = -0.25; // Preset positions. public static final double SLIDE_PRESET_TOLERANCE = 0.5; public static final double[] SLIDE_PRESETS = new double[] { SLIDE_MIN_POS, SLIDE_POS_1, SLIDE_POS_2, SLIDE_POS_3, SLIDE_MAX_POS }; // PID Actuator parameters. public static final double SLIDE_KP = 0.6; public static final double SLIDE_KI = 0.0; public static final double SLIDE_KD = 0.025; public static final double SLIDE_KF = 0.0; public static final double SLIDE_TOLERANCE = 0.5; public static final double SLIDE_IZONE = 10.0; public static final double SLIDE_STALL_DETECTION_DELAY = 0.5; public static final double SLIDE_STALL_DETECTION_TIMEOUT = 0.2; public static final double SLIDE_STALL_ERR_RATE_THRESHOLD = 5.0; public static final double SLIDE_STALL_MIN_POWER = Math.abs(SLIDE_CAL_POWER); public static final double SLIDE_STALL_TOLERANCE = 0.1; public static final double SLIDE_STALL_TIMEOUT = 0.2; public static final double SLIDE_STALL_RESET_TIMEOUT = 0.0; ``` 7. In Robot.java, add code to the method updateStatus to display the status of the subsystem on the Driver Station. This is very useful for debugging. For example, if the subsystem is not working, you can look at the subsystem status to figure out if the problem is in the code, wiring or hardware. ``` if (slide != null) { dashboard.displayPrintf( lineNum++, "Slide: power=" + slide.getPower() + ", pos=" + slide.getPosition() + "/" + slide.getPidTarget() + ", lowerLimit=" + slide.isLowerLimitSwitchActive()); } ``` 8. In FtcTeleOp.java, add a private class variable slidePrevPower and add code to the method periodic to read analog controls on the gamepad for controlling the subsystem. ``` private double slidePrevPower = 0.0; ... if (robot.slide != null) { double slidePower = operatorGamepad.getLeftStickY(true) * RobotParams.SLIDE_POWER_LIMIT; if (slidePower != slidePrevPower) { if (manualOverride) { // Not using PID control. robot.slide.setPower(slidePower); } else { // Using PID control. robot.slide.setPidPower( slidePower, RobotParams.SLIDE_MIN_POS, RobotParams.SLIDE_MAX_POS, true); } slidePrevPower = slidePower; } } ``` 9. In FtcTeleOp.java, add code to the method operatorButtonEvent to read button controls on the gamepad for controlling the subsystem. The following example shows how you would control the slide to extend or retract to the next preset position by using the DPad on the operator gamepad as well as using the BACK button to zero calibrate the slide. ``` case FtcGamepad.GAMEPAD_DPAD_UP: if (pressed && robot.slide != null) { robot.globalTracer.traceInfo(moduleName, ">>>>> Extending slide to next position."); robot.slide.presetPositionUp(null, RobotParams.SLIDE_POWER_LIMIT); } break; case FtcGamepad.GAMEPAD_DPAD_DOWN: if (pressed && robot.slide != null) { robot.globalTracer.traceInfo(moduleName, ">>>>> Retracting slide to the next position."); robot.slide.presetPositionDown(null, RobotParams.SLIDE_POWER_LIMIT); } break; case FtcGamepad.GAMEPAD_BACK: if (pressed && robot.slide != null) { robot.globalTracer.traceInfo(moduleName, ">>>>> ZeroCalibrate."); robot.slide.zeroCalibrate(RobotParams.SLIDE_CAL_POWER); } break; ``` Once the subsystem is created and tied in to TeleOp, you should be able to operate the subsystem in TeleOp mode and check out the subsystem status on the Driver Station. ## TRC Framework Library Features Our Framework Library provides numerous features. We will list some of them here: - FtcOpMode: Our own opmode that extends LinearOpMode but providing interface similar to OpMode where you put your code in some sort of loop method. FtcOpMode is a cooperative multi-tasking scheduler. As an advanced feature, our Framework Library also supports multi-threaded true multi-tasking. But for rookie teams who don't want to tackle the gotchas of true multi-tasking, cooperative multi-tasking is the way to go. This allows your autonomous to operate multiple subsystems at the same time instead of doing things sequentially. This is especially important since FTC autonomous period lasts only 30 seconds. In order to perform the maximum number of tasks in the autonomous period, your code would want to perform multiple tasks that have no dependencies on each other and perform them simultaneously. The Framework Library enables that in a trivial manor. - State machine: The state machine infrastructure is the core of multi-tasking. Each task should use a state machine to keep track of their states. This allows FtcOpMode to switch between tasks and be able to maintain the state of each task when they are resumed from suspended state. - Task syncrhonization: Some tasks have dependencies on each other. For example, autonomous may want to finish driving the robot to the specified location before dumping the game element to the proper spot. This requires task synchronization. The Framework Library provides a number of task synchronization features such as Events (TrcEvent) and Callbacks (TrcEvent.Callback). Event allows an operation to signal it when the operation is completed so that the task waiting for it can resume. Callback allows a method to be called to perform additional work without the use of a state machine after the operation is completed, for example. - Timers: The Timer Manager (TrcTimer) manages multiple simultaneous timers. When a timer expires, you have the option of signaling an event or doing an event callback. For example, if you want to spin a motor for 3 seconds and turn it off afterwards, you can arm a timer that expires in 3 seconds and do an event callback to turn the motor off. This type of operation is sometimes called "fire and forget". - Advanced multi-tasking: In addition to cooperative multi-task, our Framework Library also supports multi-threaded tasks. The Library provides a number of standard threads (i.e. main robot thread and IO thread). The main robot thread runs the FtcOpMode where the scheduler is performing cooperative multi-tasking on the main robot thread. The IO thread handles all input tasks such as reading sensors and odometry and output tasks such as motor and actuator tasks including PID control and pathing. If there is a special need that either requires high frequency processing and cannot afford any latency or a task that takes extra long time to run and thus blocking the thread unnecessarily long, the Library enables you to create STANDALONE tasks that have their own thread. All these tasks/threads are mananged by the Task Manager (TrcTaskMgr). Although everything provided and maintained by the Library are thread-safe, user must still be cautious when writing multi-threading code. Care must be taken to ensure you don't fall into the trap of two common multi-threaded programming woes: shared resource contention and task synchronization. If you don't understand these, it's better not to do multi-threaded multi-tasking and stick only with cooperative multi-tasking. Even with cooperative multi-tasking, you still need to apply some simple disciplines: do not block the main robot thread (i.e. no busy wait loop and sleep statements in your task code). Just start an operation and get out. Do not wait for it to complete. Most of the operations supported by the Framework Library are asynchronous. For a subsystem to support asynchronous operation, it must provide a way to start the operation without blocking and a way to signal/notify the completion of the operation. Calling them will start the operation and the control is returned back to your code immediately. Your state machine should take care waiting for an operation to complete. That's why it's called "cooperative multi-tasking". You must be good citizens for it to work properly. - Inputs: The Framework Library supports many different input devices such as gamepad controllers, sensors and driver station dashboard. - Gamepad controller: The Framework Library monitor all buttons on the gamepad for state changes. Any button presses or releases will result in an event callback to your button event handler. This simplifies your TeleOp code tremendously. - Sensors: The Framework Library supports many type of sensors whether they are digital sensors, analog sensors, I2C sensors or even Android built-in sensors, the Library provides access to them. Popular sensors include ultronic sensor, color sensor, distance sensor such as Lidar, gyro, accelerometer, touch sensor, IR seeker and Pixy camera etc. It also supports many underlying communication protocols (e.g. I2C, Serial, SPI etc) so that you can write custom sensor driver code to communicate with sensors that the Library does not have built-in support. - Driver station dashboard: The Framework Library provides easy access to the driver station as an input device. It allows you to create Choice Menus (FtcChoiceMenu) or Value Menus (FtcValueMenus) where you can ask the user to provide information before the competition match is started. Information such as whether you are on the RED or BLUE Alliance; which starting position your robot is in; whether your robot should delay starting the autonomous routine to let your alliance partner to go first to avoid potential collision or whether your robot should perform or skip a certain autonomous tasks. The Choice and Value menus form a decision tree that allow the user to select choices or enter values using the gamepad buttons. - Data Filters and Processors: In the real world, sensors have noises. In some applications, noises are bad for robot control. The Framework Library provides a number of popular data filters (e.g. IIR, Kalman and Spurious filters etc) that will clean up noises on sensor readings. It also provides some data converters such as data integrator. For example, some simple gyro sensors only give you rotational rate but not heading. You must integrate the rotational rate over time to calculate heading. In this situation, the Library provides the data integrator. In some other sensors such as some gyros or compasses, they give you non-contiguous readings when passing through some point such as the REV IMU gyro goes from 179 degrees to -180, or compass goes from 359 degrees back to zero. This non-contiguous values may cause havoc in control algorithms. In this case, the Library provides a converter that can monitor the sensor crossing such points and convert the values into a contiguous scale. - Outputs: The Framework Library supports many types of output devices such as motors, servo, complex actuators, lights and sound. - Motors: Motor is the most fundamental output device on a robot. It provides movements for the robot. FTC SDK provides some basic motor classes (e.g. DcMotor, DcMotorEx). The Framework Library adds a lot more features on top of that in different layers of complexity. For example, it provides FtcDcMotor extending TrcMotor that added support for a digital input sensor to reset the motor encoder automatically (limit switches). This is useful for using the motor in a complex actuator such as an arm or elevator when you may need to zero calibrate the zero position of the actuator using a lower limit switch. It also added support to provide velocity mode control and motor odometry. On top of the fundamental motor features, it also provided PID Controlled functionality. It can support either native motor close-loop control (position and velocity PID control) or software PID control in case some motors do not support native close-loop control (e.g. continuous servos). TrcMotor added support for lower and upper limit switches, motor stall protection for safety, multiple motors with synchronization (motor followers), zero position calibration and gravity compensation. These advanced features made it trivial to implement complex subsystems such as a swing arm or elevator. The built-in PIDF controller allows the arm or elevator to be controlled by an analog joystick to speed up or slow down the arm/elevator movement. It understands the arm/elevator position approaching the lower/upper position limits and will automatically slow down its movement. It also provides stall protection. If the PID Actuator got stuck and the motor is stalled, it can cut motor power to prevent it from burning out. It also allows a reset timeout so that the stall condition can be cleared after a certain period assuming the stall condition is caused by human temporarily. This allows the subsystem to resume its function and provides time for the motor to cool down. In addition, it also supports voltage compensation. It understands battery voltage drop and can compensate the power level sent to the motor. - Servos: With the limited number of motors allowed by FTC, servo motors become the secondary important actuator on a robot. The Framework Library provides the basic support of a servo over the FTC SDK (TrcServo). It supports translation between logical servo positions (between the value of 0 and 1) to physical positions such as 0 to 180 degrees. Just like motors, it also allows you to invert the direction of the servo movement. In addition, it also provides features to support multiple servos (followers), continuous servo with optional encoder, lower and upper limit switches. Most importantly, it allows speed controlling a servo motor so you can control a servo by an analog joystick. - Light: The Framework Library supports many ways to control lights, usually LEDs. They could be a single LED with just one color, a single RGB LED or a RGB LED strip that is pixel addressable. The LED lights can be controlled by digital output ports or most likely the REV Blinkin LED controller. This is not only for asethetics to make our robot look pretty, it also serves a very practical purpose: providing feedback to drivers on robot status. For example, it can tell you whether robot vision detected the target by changing the LED color on different target positions. The Library not only allows you to lit up LEDs in different colors or different color patterns, it also provides a complex priority scheme in controlling the LEDs. Imagine the robot has many subsystems that want to tell you something. Vision may want to tell you whether it sees the target, intake may want to tell you whether it has taken in a game piece. All these events will cause LED contention (i.e. different subsystems fighting to change the color of the LEDs to show their status). The Library provides a priority scheme (TrcPriorityIndicator) that defines what color pattern has priority over the others so that important events can override lower priority events to show their status. The Library also provides support for LED Matrix Panel. Although it is not really practical for FTC, it is more an FRC feature because of power requirement and also requires custom electronics that FTC may not allow. - Sound: The Framework Library supports sound. It used to support sound on the Robot Controller when it was an Android Phone. With the introduction of REV Robot Controller Hub, it no longer provides sound capability. The sound support now gets redirected to the Driver Station. Sound support includes playing a tone or providing text to speech. Sound is an important output device. Just like light, it provides feedback to the drivers on important robot status. For example, if one of the motors is stalled, the Library can cut power to the motor to prevent it from burning out. Sound support can generate a beep to warn the driver about it. - Drive Base: Our Framework Library provided support for 3 different types of drive bases: Simple Differential Drive Base (TrcSimpleDriveBase), Mecanum Drive Base (TrcMecanumDriveBase) and Swerve Drive Base (TrcSwerveDriveBase). All drive bases have built-in kinematics, odometry and localization support. It means the library can use sensors such as wheel encoders and gyro to keep track of the absolute field location of the robot. It can combine the sensor readings to control the movement of the robot by applying kinematic calculations. It even supports passive-wheel odometry (aka dead-wheel odometry) where it supports 2 to 4 passive omniwheels with encoders to keep track of the absolute field location of the robot. All odometry data can be scaled to real world unit such as inches instead of encoder counts. All drive bases support many advanced features such as stall detection that detects if the drive base is stalled because it runs into an obstacle. This allows the possibility of writing advanced code such as running into the field wall to relocalize the robot location. Running into the field wall causes the drive base to stall which can signal an event to stop the drive base and reset the robot location to a known position. All drive bases provide support for different drive strategies such as tankDrive, arcadeDrive and curveDrive. It also provides support for holonomicDrive for drive bases that have this capability such as Mecanum and Swerve Drive Bases. For holonomic capable drive bases, it also supports field oriented driving where the robot can go in any direction independent of the robot's heading. It also supports Gyro-Assist driving where it uses the gyro to keep the robot driving straight. If the robot has a weight distribution problem or one of the wheels has more friction than the others, the robot won't drive straight. The robot may curve to the left or right. By enabling Gyro-Assist driving, it will use the gyro to maintain a straight heading. - Simple Differential Drive Base supports drive bases with 2 to 6 motors. It has left and right sides. Each side can have 1 to 3 motors. Simple Drive Base can only run straight and cannot strafe like Mecanum Drive Bases (i.e. no holonomicDrive support, only differential drive). - Mecanum Drive Base has 4 mecanum wheels. Each wheel has its own motor. It is capable of holonomic drive (i.e. strafing). - Swerve Drive Base has 4 swerve wheel modules. Each swerve module consists of a drive motor and a steering motor. The steering motor can be a DC motor or a continuous servo motor. Each swerve module on a Swerve Drive Base can be independently steer so that it can run in any direction with the robot heading pointing to a totally different direction. - Exclusive Subsystem: A robot consists of many subsystems (e.g. drive base, elevator, shooter, intake, vision etc). Most of the subsystems can be operated by human operator in TeleOp mode. However, some subsystems can also be used in auto-assist operations. For example, on the press of a button, the vision-assisted shooter may stop the drive base, acquire a camera image for vision processing, calculate the trajectory for shooting a target, spin the shooter up to shooting speed, pan and tilt the shooter to the correct angles aiming at the target and shoot. The auto-assist operation involves several subsystems while these subsystems can also be operated by human control. Without coordination, human control and auto-assist may fight each other for the control of these subsystems. For example, while auto-assist is tilting the shooter for aiming the target, the tilting mechanism is also controlled by a joystick which is at neutral position. It means teleop code is constantly sending zero power to the tilter while auto-assist is trying to move the tilter. This causes jerky movement of the tilter. With Exclusive Subsystem support, one can declare the tilter as an Exclusive Subsystem. Before auto-assist starts an operation with the Exclusive Subsystem, it must acquire exclusive ownership of the subsystem. Once ownership is acquired, nobody else except the owner can operate the subsystem. This prevents teleop control from interfering with the auto-assist operation. When the auto-assist operation is done, the exclusive ownership of the subsystems will be released so that telop control can be resumed. - PIDF Control: Aside from supporting motor native close-loop control, our framework library also supports software PIDF control. Our software PIDF controller has a lot of extra features such as iZone in addition to P.I.D.F. It also understands target tolerance, stalling due to steady state error. It understands absolute versus relative target setpoint. It supports options to disallow oscillation (i.e. if the controller overshoots, it will just stop even though it exceeded tolerance). It also supports setting close-loop ramp rate and stall detection for aborting close-loop control hang (i.e. steady state error exceeding tolerance causing close-loop control to wait forever). It also allows setting close-loop control maximum power limits. - Motor Odometry: Motor odometry keeps track of motor position as well as velocity in real world units (e.g. inches) instead of encoder counts. If the motor does not support native velocity report, our library will calculate the velocity for you. Motor odometry is highly optimized for performance. We support Lynx Bulk Caching mode that guarantee reading motor odometry only once in a robot loop. Our code has built-in performance monitors for debugging performance issues. - Drive Base Odometry: Our drive base odometry supports both drive motor odometry as well as passive wheel odometry (Passive Odometry Pods). With drive wheel odometry, it reads either drive motor odometry or passive wheel odometry as well as gyro heading to calculate the absolute field location of the drive base. - Pathing Following: Our library supports Pure Pursuit Drive path following. In addition to the ability of following a pre-planned path, it also allows dynamically generated path. This is very useful for working with vision system that detects target location and can dynamically create a path navigating the robot to the detected target. - Vision: In every season, the game play usually involves navigating the robot to a certain location marked by objects detectable by vision or the robot is shooting game elements at a target recognizable by vision. Computer vision can have different complexity, ranging from simple color blob detection to full blown neural network machine learning object recognition. Therefore, it is generally computational intensive and could take hundreds of milliseconds to process an image frame. Fortunately, there are industrial vision libraries that take care of the heavy lifting for us. Libraries such as Tensor Flow, AprilTag and OpenCV. Our Framework Library includes support for all these industrial libraries. Some industrial libraries support asynchronous processing of image frames and some do not. For those that don't, they could block our main robot thread for hundreds of milliseconds. But with our Framework Library, we wrap these industrial libraries with easy to use interfaces and provide asynchronous support thus freeing our main robot thread to take care of other tasks. This encapsulation makes it extremely easy to writing vision code. - Util: - Trace logging: In addition of providing information output to the dashboard on the driver station, the Framework Library also provides trace logging mainly for debugging purpose. It is a super important tool allowing post-mortem analysis of the robot performance of a match either for debugging or for performance tuning. Information written to the trace log has different levels that can be adjusted to reduce clutter. The levels are: VERBOSE, DEBUG, INFO, WARNING, ERROR and FATAL. For example, in regular competition match log, we will only turn up to the INFO level at the most. But for debugging, we may turn up to DEBUG or even VERBOSE to see everything. ## Getting Help ### User Documentation and Tutorials We are not very good at creating documentation and tutorials but we want to get better at this. Our Framework Library code has JavaDoc all over. Therefore, you can get information on what each class does and their methods. We have also added sample code to the template project. Several teams have been using our Framework Library and we welcome opportunities of collaboration in creating tutorial materials. Feel free to suggest what tutorial you want to see. ### Javadoc Reference Material The Javadoc reference documentation for the TRC Robotics Framework Library can be found [here](https://trc492.github.io/FtcJavaDoc/). We have also created some class material for learning our Robotics Framework [here](https://github.com/trc492/TrcAdvancedProgrammingClass/tree/main/FtcLessons). ### Online User Forum For technical questions regarding our Framework Library, please post questions on the FTC Forums [here](https://ftcforum.firstinspires.org/forum/ftc-technology/android-studio). ### TRC Sample OpModes In addition, we provide a large selection of sample OpModes (sample robot code) that show you how to use various features of our library. You can find them in a separate GitHub repository [here](https://github.com/trc492/TrcFtcSamples). # FTC SDK Release Information ## NOTICE This repository contains the public FTC SDK for the INTO THE DEEP (2024-2025) competition season. ## Welcome! This GitHub repository contains the source code that is used to build an Android app to control a *FIRST* Tech Challenge competition robot. To use this SDK, download/clone the entire project to your local computer. ## Requirements To use this Android Studio project, you will need Android Studio Ladybug (2024.2) or later. To program your robot in Blocks or OnBot Java, you do not need Android Studio. ## Getting Started If you are new to robotics or new to the *FIRST* Tech Challenge, then you should consider reviewing the [FTC Blocks Tutorial](https://ftc-docs.firstinspires.org/programming_resources/blocks/Blocks-Tutorial.html) to get familiar with how to use the control system: [FTC Blocks Online Tutorial](https://ftc-docs.firstinspires.org/programming_resources/blocks/Blocks-Tutorial.html) Even if you are an advanced Java programmer, it is helpful to start with the [FTC Blocks tutorial](https://ftc-docs.firstinspires.org/programming_resources/blocks/Blocks-Tutorial.html), and then migrate to the [OnBot Java Tool](https://ftc-docs.firstinspires.org/programming_resources/onbot_java/OnBot-Java-Tutorial.html) or to [Android Studio](https://ftc-docs.firstinspires.org/programming_resources/android_studio_java/Android-Studio-Tutorial.html) afterwards. ## Downloading the Project If you are an Android Studio programmer, there are several ways to download this repo. Note that if you use the Blocks or OnBot Java Tool to program your robot, then you do not need to download this repository. * If you are a git user, you can clone the most current version of the repository:
git clone https://github.com/FIRST-Tech-Challenge/FtcRobotController.git
* Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the download manageable. * You can also download the project folder (as a .zip or .tar.gz archive file) from the Downloads subsection of the [Releases](https://github.com/FIRST-Tech-Challenge/FtcRobotController/releases) page for this repository. * The Releases page also contains prebuilt APKs. Once you have downloaded and uncompressed (if needed) your folder, you can use Android Studio to import the folder ("Import project (Eclipse ADT, Gradle, etc.)"). ## Getting Help ### User Documentation and Tutorials *FIRST* maintains online documentation with information and tutorials on how to use the *FIRST* Tech Challenge software and robot control system. You can access this documentation using the following link: [FIRST Tech Challenge Documentation](https://ftc-docs.firstinspires.org/index.html) Note that the online documentation is an "evergreen" document that is constantly being updated and edited. It contains the most current information about the *FIRST* Tech Challenge software and control system. ### Javadoc Reference Material The Javadoc reference documentation for the FTC SDK is now available online. Click on the following link to view the FTC SDK Javadoc documentation as a live website: [FTC Javadoc Documentation](https://javadoc.io/doc/org.firstinspires.ftc) ### Online User Forum For technical questions regarding the Control System or the FTC SDK, please visit the FIRST Tech Challenge Community site: [FIRST Tech Challenge Community](https://ftc-community.firstinspires.org/) ### Sample OpModes This project contains a large selection of Sample OpModes (robot code examples) which can be cut and pasted into your /teamcode folder to be used as-is, or modified to suit your team's needs. Samples Folder: [/FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples](FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples) The readme.md file located in the [/TeamCode/src/main/java/org/firstinspires/ftc/teamcode](TeamCode/src/main/java/org/firstinspires/ftc/teamcode) folder contains an explanation of the sample naming convention, and instructions on how to copy them to your own project space. # Release Information ## Version 10.2 (20250121-174034) ### Enhancements * Add ability to upload the pipeline for Limelight3A which allows teams to version control their limelight pipelines. ### Bug Fixes * Fix an internal bug where if the RUN_TO_POSITION run mode was specified before a target position, recovery would require a power cycle. A side effect of this fix is that a stack trace identifying the location of the error is always produced in the log. Fixes issue [1345](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/1345). * Throws a helpful exception if region of interest is set to null when building a PredominantColorProcessor. Also sets the default RoI to the full frame. Addresses issue [1076](FIRST-Tech-Challenge/FtcRobotController#1076) * Throws a helpful exception if user tries to construct an ImageRegion with malformed boundaries. Addresses issue [1078](FIRST-Tech-Challenge/FtcRobotController#1078) ## Version 10.1.1 (20241102-092223) ### Breaking Changes * Support for Android Studio Ladybug. Requires Android Studio Ladybug. ### Known Issues * Android Studio Ladybug's bundled JDK is version 21. JDK 21 has deprecated support for Java 1.8, and Ladybug will warn on this deprecation. OnBotJava only supports Java 1.8, therefore, in order to ensure that software developed using Android Studio will run within the OnBotJava environment, the targetCompatibility and sourceCompatibility versions for the SDK have been left at VERSION_1_8. FIRST has decided that until it can devote the resources to migrating OnBotJava to a newer version of Java, the deprecation is the lesser of two non-optimal situations. ### Enhancements * Added `toString()` method to Pose2D * Added `toString()` method to SparkFunOTOS.Pose2D ## Version 10.1 (20240919-122750) ### Enhancements * Adds new OpenCV-based `VisionProcessor`s (which may be attached to a VisionPortal in either Java or Blocks) to help teams implement color processing via computer vision in the INTO THE DEEP game * `ColorBlobLocatorProcessor` implements OpenCV color "blob" detection. A new sample program `ConceptVisionColorLocator` demonstrates its use. * A choice is offered between pre-defined color ranges, or creating a custom one in RGB, HSV, or YCrCb color space * The ability is provided to restrict detection to a specified Region of Interest on the screen * Functions for applying erosion / dilation morphing to the threshold mask are provided * Functions for sorting and filtering the returned data are provided * `PredominantColorProcessor` allows using a region of the camera as a "long range color sensor" to determine the predominant color of that region. A new sample program `ConceptVisionColorSensor` demonstrates its use. * The determined predominant color is selected from a discrete set of color "swatches", similar to the MINDSTORMS NXT color sensor * Documentation on this Color Processing feature can be found here: https://ftc-docs.firstinspires.org/color-processing * Added Blocks sample programs for color sensors: RobotAutoDriveToLine and SensorColor. * Updated Self-Inspect to identify mismatched RC/DS software versions as a "caution" rather than a "failure." ### Bug Fixes * Fixes [AngularVelocity conversion regression](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/1070) ## Version 10.0 (20240828-111152) ### Breaking Changes * Java classes and Blocks for TensorFlow Object Detection have been removed. * `AngularVelocity.unit` which was of type `AngleUnit` has been renamed `AngularVelocity.angleUnit` of type `UnnormalizedAngleUnit` ### Enhancements * Sample for REV Digital Indicator has been added - ConceptRevLED * Adds support for the [Sparkfun QWIIC LED Stick](https://www.sparkfun.com/products/18354) * To connect it directly, you need this [cable](https://www.sparkfun.com/products/25596) * Adds ConceptLEDStick OpMode * Adds Blocks for colors black, blue, cyan, dkgray, gray, green, ltgray, magenta, red, white, and yellow. * Adds an "evaluate but ignore result" Block that executes the connected block and ignores the result. Allows you to call a function and ignore the return value. * Adds I2C driver for Maxbotix Maxsonar I2CXL sonar rangefinder * Adds Blocks for setPwmEnable, setPwmDisable, and isPwmEnabled for servos and CR servos. * In the Blocks editor: a \n in the ExportToBlocks annotation's comment field is displayed as a line break. * Telemetry has new method setNumDecimalPlaces * Telemetry now formats doubles and floats (not inside objects, just by themselves) * Adds support for the Limelight 3A. * Adds initial support for the REV Servo Hub * Both the Robot Controller and Driver Station need to be updated to version 10.0 in order for Servo Hubs to be configurable as Servo Hubs. If the app on either device is outdated, the Servo Hub will show up as an Expansion Hub, and some functionality will not work as expected. You should wait to create a configuration that includes a Servo Hub until both the Driver Station and Robot Controller apps have been updated to version 10.0. * Updating the Servo Hub's firmware and changing its address can only be done using the REV Hardware Client at this time * Adds support for the REV 9-Axis IMU (REV-31-3332) * The REV 9-Axis IMU is only supported by the [Universal IMU interface](https://ftc-docs.firstinspires.org/en/latest/programming_resources/imu/imu.html) * Adds `Rev9AxisImuOrientationOnRobot` Java class. * If you mentally substitute this IMU's I2C port for the Control Hub's USB ports, `RevHubOrientationOnRobot` is also compatible with this sensor * Adds Blocks for Rev9AxisImuOrientationOnRobot, including RevHubImuOrientationOnRobot.xyzOrientation and RevHubImuOrientationOnRobot.zyxOrientation. * Adds Blocks samples SensorRev9AxisIMUOrthogonal and SensorRev9AxisIMUNonOrthogonal. * Improves Blocks support for RevHubImuOrientationOnRobot. * Adds Blocks for RevHubImuOrientationOnRobot.xyzOrientation and RevHubImuOrientationOnRobot.zyxOrientation. * Adds Blocks samples SensorHubIMUOrthogonal (replaces SensorIMU) and SensorHubIMUNonOrthogonal. * Updates EasyOpenCV, AprilTag, OpenCV, and `libjpeg-turbo` versions * Adds Blocks for max and min that take two numbers. * Adds Blocks OpModes ConceptRevSPARKMini, RobotAutoDriveByEncoder, RobotAutoDriveByGyro, RobotAutoDriveByTime, RobotAutoDriveToAprilTagOmni, and RobotAutoDriveToAprilTagTank. * Two OpModes with the same name now automatically get renamed with the name followed by a "-" and the class name allowing them to both be on the device. * Shows the name of the active configuration on the Manage page of the Robot Controller Console * Updated AprilTag Library for INTO THE DEEP. Notably, `getCurrentGameTagLibrary()` now returns INTO THE DEEP tags. * Adds Blocks for Telemetry.setMsTransmissionInterval and Telemetry.getMsTransmissionInterval. * Adds Blocks sample SensorOctoQuad. ### Bug Fixes * Fixes a bug where the RevBlinkinLedDriver Blocks were under Actuators in the Blocks editor toolbox. They are now Other Devices. * Fixes a bug where `Exception`s thrown in user code after a stop was requested by the Driver Station would be silently eaten * Fixed a bug where if you asked for `AngularVelocity` in a unit different than the device reported it in, it would normalize it between -PI and PI for radians, and -180 and 180 for degrees. ## Version 9.2 (20240701-085519) ### Important Notes * Java classes and Blocks for TensorFlow Object Detection have been deprecated and will be removed in Version 10.0. * The samples that use TensorFlow Object Detection have been removed. ### Enhancements * Adds explanatory text to failed items on the inspection activities. To view the explanatory text tap the red warning icon for a failed item. * In the Blocks editor: added a new kind of variable set block that sets the variable and also returns the new value. * Changes the way that camera controls behave for a SwitchableCamera. Now, each method (such as getExposure, getMinExposure, getMaxExposure, setExposure for ExposureControl) acts on the currently active camera. * Adds support for the REV USB PS4 Compatible Gamepad (REV-31-2983) * Adds ConceptAprilTagMultiPortal OpMode * Adds support for OctoQuad Quadrature Encoder & Pulse Width Interface Module * Adds the ExportAprilTagLibraryToBlocks annotation that indicates that a static method that returns an AprilTagLibrary is exported to the Blocks programming environment. The corresponding block will appear in the Blocks toolbox along with the built-in tag libraries. * Adds Blocks OpMode ConceptAprilTagOptimizeExposure. * Adds support for the SparkFun Optical Tracking Odometry sensor. ### Bug Fixes * Fixes https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/942 where visionPortal.close() can cause an IndexOutOfBoundsError. * Fixes a bug in the blocks editor where collapsed function blocks show a warning "Collapsed blocks contain warnings." when the Blocks OpMode is reopened. * Fixes a bug where the blocks editor wouldn't warn you that you have unsaved changes when you try to leave. This bug was introduced due to a behavior change in Chrome 119. * [Issue #764](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/764) - Get gain control returns a null pointer for a switchable camera * Fixes a bug where the correct deadzone for certain gamepads was not applied when Advanced Gamepad Features was enabled ## Version 9.1 (20240215-115542) ### Enhancements * Fixes a problem with Blocks: if the user closes a Block's warning balloon, it will still be closed next time the project is opened in the Blocks editor. * In the Blocks editor, an alert concerning missing hardware devices is not shown if all the Blocks that use the missing hardware devices are disabled. * Adds Blocks to support comparing property values CRServo.Direction, DCMotor.Direction, DCMotor.Mode, DCMotor.ZeroPowerBehavior, DigitalChannel.Mode, GyroSensor.HeadingMode, IrSeekerSensor.Mode, and Servo.Direction, to the corresponding enum Block. * Improves OnBotJava auto-import to correctly import classes when used in certain situations. * Improves OnBotJava autocomplete to provide better completion options in most cases. * This fixes an issue where autocomplete would fail if a method with two or more formal parameters was defined. * In OnBotJava, code folding support was added to expand and collapse code sections * In OnBotJava, the copyright header is now automatically collapsed loading new files * For all Blocks OpMode samples, intro comments have been moved to the RunOpMode comment balloon. * The Clean up Blocks command in the Blocks editor now positions function Blocks so their comment balloons don't overlap other function Blocks. * Added Blocks OpMode sample SensorTouch. * Added Java OpMode sample SensorDigitalTouch. * Several improvements to VisionPortal * Adds option to control whether the stream is automatically started following a `.build()` call on a VisionPortal Builder * Adds option to control whether the vision processing statistics overlay is rendered or not * VisionPortals now implement the `CameraStreamSource` interface, allowing multiportal users to select which portal is routed to the DS in INIT by calling CameraStreamServer.getInstance().setSource(visionPortal). Can be selected via gamepad, between Camera Stream sessions. * Add option to `AprilTagProcessor` to suppress calibration warnings * Improves camera calibration warnings * If a calibration is scaled, the resolution it was scaled from will be listed * If calibrations exist with the wrong aspect ratio, the calibrated resolutions will be listed * Fixes race condition which caused app crash when calling `stopStreaming()` immediately followed by `close()` on a VisionPortal * Fixes IllegalStateException when calling `stopStreaming()` immediately after building a VisionPortal * Added FTC Blocks counterparts to new Java methods: * VisionPortal.Builder.setAutoStartStreamOnBuild * VisionPortal.Builder.setShowStatsOverlay * AprilTagProcessor.Builder.setSuppressCalibrationWarnings * CameraStreamServer.setSource​ ### Bug Fixes * Fixes a problem where OnBotJava does not apply font size settings to the editor. * Updates EasyOpenCV dependency to v1.7.1 * Fixes inability to use EasyOpenCV CameraFactory in OnBotJava * Fixes entire RC app crash when user pipeline throws an exception * Fixes entire RC app crash when user user canvas annotator throws an exception * Use the modern stacktrace display when handling user exceptions instead of the legacy ESTOP telemetry message ## Version 9.0.1 (20230929-083754) ### Enhancements * Updates AprilTag samples to include Decimation and additional Comments. Also corrects misleading tag ID warnings * Increases maximum size of Blocks inline comments to 140 characters * Adds Blocks sample BasicOmniOpMode. * Updated CENTERSTAGE library AprilTag orientation quaternions * Thanks [@FromenActual](https://github.com/FromenActual) * Updated Java Sample ConceptTensorFlowObjectDetection.java to include missing elements needed for custom model support. ### Bug Fixes * Fixes a problem where after October 1 the Driver Station will report as obsolete on v9.0 and prompt the user to update. ## Version 9.0 (20230830-154348) ### Breaking Changes * Removes Vuforia * Fields in `AprilTagDetection` and `AprilTagPose(ftc/raw)` objects are now `final` * VisionPortal builder method `setCameraMonitorViewId()` has been renamed to `setLiveViewContainerId()` and `enableCameraMonitoring()` has been renamed to `enableLiveView()` ### Enhancements * Adds support for the DFRobot HuskyLens Vision Sensor. * Blocks teams can now perform webcam calibration. * Added a Block for System.currentTimeMillis (under Utilities/Time) * Added a Block for VisionPortal.saveNextFrameRaw (under Vision/VisionPortal) * Added a new sample Blocks OpMode called UtilityCameraFrameCapture. * The RobotDriveByGyro sample has been updated to use the new universal IMU interface. It now supports both IMU types. * Removed some error-prone ElapsedTime Blocks from the Blocks editor's toolbox. This is not a breaking change: old Blocks OpModes that use these Blocks will still function, both in the Blocks editor and at runtime. * Standardizes on the form "OpMode" for the term OpMode. * The preferred way to refer to OpModes that specifically extend `LinearOpMode` (including Blocks OpModes) is "linear OpMode". * The preferred way to refer to OpModes that specifically extend `OpMode` directly is "iterative OpMode". * Overhauls `OpMode` and `LinearOpMode` Javadoc comments to be easier to read and include more detail. * Makes minor enhancements to Java samples * Javadoc comments in samples that could be rendered badly in Android Studio have been converted to standard multi-line comments * Consistency between samples has been improved * The SensorDigitalTouch sample has been replaced with a new SensorTouch sample that uses the `TouchSensor` interface instead of `DigitalChannel`. * The ConceptCompassCalibration, SensorMRCompass, and SensorMRIRSeeker samples have been deleted, as they are not useful for modern FTC competitions. ### Bug Fixes * Fixes a bug which prevented PlayStation gamepads from being used in bluetooth mode. Bluetooth is NOT legal for competition but may be useful to allow a DS device to be used while charging, or at an outreach event. * Fixes a bug where a Blocks OpMode's Date Modified value can change to December 31, 1969, if the Control Hub is rebooted while the Blocks OpMode is being edited. * Fixes the automatic TeleOp preselection feature (was broken in 8.2) * Fixes a bug where passing an integer number such as 123 to the Telemetry.addData block that takes a number shows up as 123.0 in the telemetry. * Fixes OnBotJava autocomplete issues: * Autocomplete would incorrectly provide values for the current class when autocompleting a local variable * `hardwareMap` autocomplete would incorrectly include lambda class entries * Fixes OnBotJava not automatically importing classes. * Fixes OnBotJava tabs failing to close when their file is deleted. * Fixes a project view refresh not happening when a file is renamed in OnBotJava. * Fixes the "Download" context menu item for external libraries in the OnBotJava interface. * Fixes issue where Driver Station telemetry would intermittently freeze when set to Monospace mode. * Fixes performance regression for certain REV Hub operations that was introduced in version 8.2. * Fixes TagID comparison logic in DriveToTag samples. ## Version 8.2 (20230707-131020) ### Breaking Changes * Non-linear (iterative) OpModes are no longer allowed to manipulate actuators in their `stop()` method. Attempts to do so will be ignored and logged. * When an OpMode attempts to illegally manipulate an actuator, the Robot Controller will print a log message including the text `CANCELLED_FOR_SAFETY`. * Additionally, LinearOpModes are no longer able to regain the ability to manipulate actuators by removing their thread's interrupt or using another thread. * Removes support for Android version 6.0 (Marshmallow). The minSdkVersion is now 24. * Increases the Robocol version. * This means an 8.2 or later Robot Controller or Driver Station will not be able to communicate with an 8.1 or earlier Driver Station or Robot Controller. * If you forget to update both apps at the same time, an error message will be shown explaining which app is older and should be updated. * FTC_FieldCoordinateSystemDefinition.pdf has been moved. It is still in the git history, but has been removed from the git snapshot corresponding with the 8.2 tag. The official version now lives at [Field Coordinate System](https://ftc-docs.firstinspires.org/field-coordinate-system). * `LynxUsbDevice.addConfiguredModule()` and `LynxUsbDevice.getConfiguredModule()` have been replaced with `LynxUsbDevice.getOrAddModule()`. * Old Blocks for Vuforia and TensorFlow Object Detection are obsolete and have been removed from the Blocks editor's toolbox. Existing Blocks OpModes that contain the old Blocks for Vuforia or TensorFlow Object Detection can be opened in the Blocks editor, but running them will not work. ### New features * Adds new `VisionPortal` API for computer vision * **This API may be subject to change for final kickoff release!** * Several new samples added. * Adds support for detecting AprilTags. * `VisionPortal` is the new entry point for both AprilTag and TFOD processing. * Vuforia will be removed in a future release. * Updated TensorFlow dependencies. * Added support for webcam camera controls to blocks. * The Blocks editor's toolbox now has a Vision category, directly above the Utilities category. * Related documentation for associated technologies can be found at * [AprilTag Introduction](https://ftc-docs.firstinspires.org/apriltag-intro) * [AprilTag SDK Guide](https://ftc-docs.firstinspires.org/apriltag-sdk) * [AprilTag Detection Values](https://ftc-docs.firstinspires.org/apriltag-detection-values) * [AprilTag Test Images](https://ftc-docs.firstinspires.org/apriltag-test-images) * [Camera Calibration](https://ftc-docs.firstinspires.org/camera-calibration) * Adds Driver Station support for Logitech Dual Action and Sony PS5 DualSense gamepads. * This **does not** include support for the Sony PS5 DualSense Edge gamepad. * Always refer to Game Manual 1 to determine gamepad legality in competition. * Adds support for MJPEG payload streaming to UVC driver (external JPEG decompression routine required for use). * Shows a hint on the Driver Station UI about how to bind a gamepad when buttons are pressed or the sticks are moved on an unbound gamepad. * Adds option for fullscreening "Camera Stream" on Driver Station. * OnBotJava source code is automatically saved as a ZIP file on every build with a rolling window of the last 30 builds kept; allows recovering source code from previous builds if code is accidentally deleted or corrupted. * Adds support for changing the addresses of Expansion Hubs that are not connected directly via USB. * The Expansion Hub Address Change screen now has an Apply button that changes the addresses without leaving the screen. * Addresses that are assigned to other hubs connected to the same USB connection or Control Hub are no longer able to be selected. * Increases maximum size of Blocks inline comments to 100 characters * Saves position of open Blocks comment balloons * Adds new AprilTag Driving samples: RobotDriveToAprilTagTank & RobotDriveToAprilTagOmni * Adds Sample to illustrate optimizing camera exposure for AprilTags: ConceptAprilTagOptimizeExposure ### Bug Fixes * Corrects inspection screen to report app version using the SDK version defined in the libraries instead of the version specified in `AndroidManifest.xml`. This corrects the case where the app could show matching versions numbers to the user but still state that the versions did not match. * If the version specified in `AndroidManifest.xml` does not match the SDK version, an SDK version entry will be displayed on the Manage webpage. * Fixes no error being displayed when saving a configuration file with duplicate names from the Driver Station. * Fixes a deadlock in the UVC driver which manifested in https://github.com/OpenFTC/EasyOpenCV/issues/57. * Fixes a deadlock in the UVC driver that could occur when hot-plugging cameras. * Fixes UVC driver compatibility with Arducam OV9281 global shutter camera. * Fixes Emergency Stop condition when an OnBotJava build with duplicate OpMode names occurs. * Fixes known causes of "Attempted use of a closed LynxModule instance" logspam. * Fixes the visual identification LED pattern when configuring Expansion Hubs connected via RS-485. ## Version 8.1.1 (20221201-150726) This is a bug fix only release to address the following four issues. * [Issue #492](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/492) - Can't create new blocks opmodes. * [Issue #495](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/495) - Remove the final modifier from the OpMode's Telemetry object. * [Issue #500](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/500) - Some devices cannot be configured when the Driver Station app has been updated to 8.1 * Updating either the Robot Controller app or the Driver Station app to 8.1.1 or later will fix this issue. * The Modern Robotics touch sensor was configurable as a Digital Device. It can only be used as an Analog Device. ## Version 8.1 (20221121-115119) ### Breaking Changes * Deprecates the `OpMode` fields `msStuckDetectInit`, `msStuckDetectInitLoop`, `msStuckDetectStart`, `msStuckDetectLoop`, and `msStuckDetectStop`. * OpModes no longer have a time limit for `init()`, `init_loop()`, `start()` or `loop()`, so the fields corresponding to those methods are no longer used. * `stop()` still has a time limit, but it is now hardcoded to be 1 second, and cannot be changed using `msStuckDetectStop`. * Deprecates the `OpMode` methods `internalPreInit()`, `internalPostInitLoop()`, and `internalPostLoop()`. * Iterative `OpMode`s will continue to call these methods in case they were overridden. * These methods will not be called at all for `LinearOpMode`s. * Deprecates (and stops respecting) `DeviceProperties.xmlTagAliases`. ### Enhancements * Adds a new `IMU` interface to Blocks and Java that can be used with both the original BNO055 IMU included in all older Control Hubs and Expansion Hubs, and the new alternative BHI260AP IMU. * You can determine which type of IMU is in your Control Hub by navigating to the Manage page of the web interface. * To learn how to use the new `IMU` interface, see https://ftc-docs.firstinspires.org/programming_resources/imu/imu.html. The `SensorIMU` Blocks sample was also updated to use the new `IMU` interface, and the following Java samples were added: * `SensorIMUOrthogonal` * Use this sample if your REV Hub is mounted so that it is parallel or perpendicular to the bottom of your robot. * `SensorIMUNonOrthogonal` * Use this sample if your REV Hub is mounted to your robot in any other orientation * `ConceptExploringIMUOrientations` * This OpMode is a tool to help you understand how the orthogonal orientations work, and which one applies to your robot. * The BHI260AP IMU can only be accessed via the new `IMU` interface. The BNO055 IMU can be programmed using the new `IMU` interface, or you can continue to program it using the old `BNO055IMU` interface. If you want to be able to quickly switch to a new Control Hub that may contain the BHI260AP IMU, you should migrate your code to use the new `IMU` interface. * Unlike the old `BNO055IMU` interface, which only worked correctly when the REV Hub was mounted flat on your robot, the `IMU` interface allows you to specify the orientation of the REV Hub on your robot. It will account for this, and give you your orientation in a Robot Coordinate System, instead of a special coordinate system for the REV Hub. As a result, your pitch and yaw will be 0 when your *robot* is level, instead of when the REV Hub is level, which will result in much more reliable orientation angle values for most mounting orientations. * Because of the new robot-centric coordinate system, the pitch and roll angles returned by the `IMU` interface will be different from the ones returned by the `BNO055IMU` interface. When you are migrating your code, pay careful attention to the documentation. * If you have calibrated your BNO055, you can provide that calibration data to the new `IMU` interface by passing a `BNO055IMUNew.Parameters` instance to `IMU.initialize()`. * The `IMU` interface is also suitable for implementation by third-party vendors for IMUs that support providing the orientation in the form of a quaternion. * Iterative `OpMode`s (as opposed to `LinearOpMode`s) now run on a dedicated thread. * Cycle times should not be as impacted by everything else going on in the system. * Slow `OpMode`s can no longer increase the amount of time it takes to process network commands, and vice versa. * The `init()`, `init_loop()`, `start()` and `loop()` methods no longer need to return within a certain time frame. * BNO055 IMU legacy driver: restores the ability to initialize in one OpMode, and then have another OpMode re-use that initialization. This allows you to maintain the 0-yaw position between OpModes, if desired. * Allows customized versions of device drivers in the FTC SDK to use the same XML tag. * Before, if you wanted to customize a device driver, you had to copy it to a new class _and_ give it a new XML tag. Giving it a new XML tag meant that to switch which driver was being used, you had to modify your configuration file. * Now, to use your custom driver, all you have to do is specify your custom driver's class when calling `hardwareMap.get()`. To go back to the original driver, specify the original driver class. If you specify an interface that is implemented by both the original driver and the custom driver, there is no guarantee about which implementation will be returned. ### Bug Fixes * Fixes accessing the "Manage TensorFlow Lite Models" and "Manage Sounds" links and performing Blocks and OnBotJava OpMode downloads from the REV Hardware Client. * Fixes issue where an I2C device driver would be auto-initialized using the parameters assigned in a previous OpMode run. * Improves Driver Station popup menu placement in the landscape layout. * Fixes NullPointerException when attempting to get a non-configured BNO055 IMU in a Blocks OpMode on an RC phone. * Fixes problem with Blocks if a variable is named `orientation`. ## Version 8.0 (20220907-131644) ### Breaking Changes * Increases the Robocol version. * This means an 8.0 or later Robot Controller or Driver Station will not be able to communicate with a 7.2 or earlier Driver Station or Robot Controller. * If you forget to update both apps at the same time, an error message will be shown explaining which app is older and should be updated. * Initializing I2C devices now happens when you retrieve them from the `HardwareMap` for the first time. * Previously, all I2C devices would be initialized before the OpMode even began executing, whether you were actually going to use them or not. This could result in reduced performance and unnecessary warnings. * With this change, it is very important for Java users to retrieve all needed devices from the `HardwareMap` **during the Init phase of the OpMode**. Namely, declare a variable for each hardware device the OpMode will use, and assign a value to each. Do not do this during the Run phase, or your OpMode may briefly hang while the devices you are retrieving get initialized. * OpModes that do not use all of the I2C devices specified in the configuration file should take less time to initialize. OpModes that do use all of the specified I2C devices should take the same amount of time as previously. * Fixes [issue #251](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/251) by changing the order in which axis rotation rates are read from the angular velocity vector in the BNO055 IMU driver. * Deprecates `pitchMode` in `BNO055IMU.Parameters`. * Setting `pitchMode` to `PitchMode.WINDOWS` would break the coordinate conventions used by the driver. * Moves `OpModeManagerImpl` to the `com.qualcomm.robotcore.eventloop.opmode` package. * This breaks third party libraries EasyOpenCV (version 1.5.1 and earlier) and FTC Dashboard (version 0.4.4 and earlier). * Deletes the deprecated `OpMode` method `resetStartTime()` (use `resetRuntime()` instead). * Deletes the protected `LinearOpMode.LinearOpModeHelper` class (which was not meant for use by OpModes). * Removes I2C Device (Synchronous) config type (deprecated since 2018) ### Enhancements * Uncaught exceptions in OpModes no longer require a Restart Robot * A blue screen popping up with a stacktrace is not an SDK error; this replaces the red text in the telemetry area. * Since the very first SDK release, OpMode crashes have put the robot into "EMERGENCY STOP" state, only showing the first line of the exception, and requiring the user to press "Restart Robot" to continue * Exceptions during an OpMode now open a popup window with the same color scheme as the log viewer, containing 15 lines of the exception stacktrace to allow easily tracing down the offending line without needing to connect to view logs over ADB or scroll through large amounts of logs in the log viewer. * The exception text in the popup window is both zoomable and scrollable just like a webpage. * Pressing the "OK" button in the popup window will return to the main screen of the Driver Station and allow an OpMode to be run again immediately, without the need to perform a "Restart Robot" * Adds new Java sample to demonstrate using a hardware class to abstract robot actuators, and share them across multiple OpModes. * Sample OpMode is [ConceptExternalHardwareClass.java](FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples/ConceptExternalHardwareClass.java) * Abstracted hardware class is [RobotHardware.java](FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples/RobotHardware.java) * Updates RobotAutoDriveByGyro_Linear Java sample to use REV Control/Expansion hub IMU. * Updates Vuforia samples to reference PowerPlay assets and have correct names and field locations of image targets. * Updates TensorFlow samples to reference PowerPlay assets. * Adds opt-in support for Java 8 language features to the OnBotJava editor. * To opt in, open the OnBotJava Settings, and check `Enable beta Java 8 support`. * Note that Java 8 code will only compile when the Robot Controller runs Android 7.0 Nougat or later. * Please report issues [here](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues). * In OnBotJava, clicking on build errors now correctly jumps to the correct location. * Improves OnBotJava autocomplete behavior, to provide better completion options in most cases. * Adds a QR code to the Robot Controller Inspection Report when viewed from the Driver Station for scanning by inspectors at competition. * Improves I2C performance and reliability in some scenarios. ## Version 7.2 (20220723-130006) ### Breaking Changes * Updates the build tooling. For Android Studio users, this change requires Android Studio Chipmunk 2021.2.1. * Removes support for devices that are not competition legal, including Modern Robotics Core Control Modules, the Matrix Controller, and HiTechnic/NXT controllers and sensors. Support remains for Modern Robotics I2C sensors. ### Enhancements * Increases the height of the 3-dots Landscape menu touch area on the Driver Station, making it much easier to select. * Adds `terminateOpModeNow()` method to allow OpModes to cleanly self-exit immediately. * Adds `opModeInInit()` method to `LinearOpMode` to facilitate init-loops. Similar to `opModeIsActive()` but for the init phase. * Warns user if they have a Logitech F310 gamepad connected that is set to DirectInput mode. * Allows SPARKmini motor controllers to react more quickly to speed changes. * Hides the version number of incorrectly installed sister app (i.e. DS installed on RC device or vice-versa) on inspection screen. * Adds support for allowing the user to edit the comment for the runOpMode block. * Adds parameterDefaultValues field to @ExportToBlocks. This provides the ability for a java method with an @ExportToBlocks annotation to specify default values for method parameters when it is shown in the block editor. * Make LinearOpMode blocks more readable. The opmode name is displayed on the runOpMode block, but not on the other LinearOpMode blocks. * Added support to TensorFlow Object Detection for using a different frame generator, instead of Vuforia. Using Vuforia to pass the camera frame to TFOD is still supported. * Removes usage of Renderscript. * Fixes logspam on app startup of repeated stacktraces relating to `"Failed resolution of: Landroid/net/wifi/p2p/WifiP2pManager$DeviceInfoListener"` * Allows disabling bluetooth radio from inspection screen * Improves warning messages when I2C devices are not responding * Adds support for controlling the RGB LED present on PS4/Etpark gamepads from OpModes * Removes legacy Pushbot references from OpMode samples. Renames "Pushbot" samples to "Robot". Motor directions reversed to be compatible with "direct Drive" drive train. ### Bug fixes * Fixes [issue #316](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/316) (MatrixF.inverted() returned an incorrectly-sized matrix for 1x1 and 2x2 matrixes). * Self inspect now allows for Driver Station and Robot Controller compatibility between point releases. * Fixes bug where if the same `RumbleEffect` object instance was queued for multiple gamepads, it could happen that both rumble commands would be sent to just one gamepad. * Fixes bug in Driver Station where on the Driver Hub, if Advanced Gamepad Features was disabled and an officially supported gamepad was connected, then opening the Advanced Gamepad Features or Gamepad Type Overrides screens would cause the gamepad to be rebound by the custom USB driver even though advanced gamepad features was disabled. * Protects against (unlikely) null pointer exception in Vuforia Localizer. * Harden OnBotJava and Blocks saves to protect against save issues when disconnecting from Program and Manage * Fixes issue where the RC app would hang if a REV Hub I2C write failed because the previous I2C operation was still in progress. This hang most commonly occurred during REV 2M Distance Sensor initialization * Removes ConceptWebcam.java sample program. This sample is not compatible with OnBotJava. * Fixes bug where using html tags in an @ExportToBlocks comment field prevented the blocks editor from loading. * Fixes blocks editor so it doesn't ask you to save when you haven't modified anything. * Fixes uploading a very large blocks project to offline blocks editor. * Fixes bug that caused blocks for DcMotorEx to be omitted from the blocks editor toolbox. * Fixes [Blocks Programs Stripped of Blocks (due to using TensorFlow Label block)](https://ftcforum.firstinspires.org/forum/ftc-technology/blocks-programming/87035-blocks-programs-stripped-of-blocks) ## Version 7.1 (20211223-120805) * Fixes crash when calling `isPwmEnabled()` ([issue #223](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/233)). * Fixes lint error ([issue #4](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/4)). * Fixes Driver Station crash when attempting to use DualShock4 v1 gamepad with Advanced Gamepad Features enabled ([issue #173](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/173)). * Fixes possible (but unlikely) Driver Station crash when connecting gamepads of any type. * Fixes bug where Driver Station would use generic 20% deadzone for Xbox360 and Logitech F310 gamepads when Advanced Gamepad Features was disabled. * Added SimpleOmniDrive sample OpMode. * Adds UVC white balance control API. * Fixes [issue #259](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/259) Most blocks samples for TensorFlow can't be used for a different model. * The blocks previously labeled TensorFlowObjectDetectionFreightFrenzy (from the subcategory named "Optimized for Freight Frenzy") and TensorFlowObjectDetectionCustomModel (from the subcategory named "Custom Model") have been replaced with blocks labeled TensorFlowObjectDetection. Blocks in existing opmodes will be automatically updated to the new blocks when opened in the blocks editor. * Fixes [issue #260](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/260) Blocks can't call java method that has a VuforiaLocalizer parameter. * Blocks now has a block labeled VuforiaFreightFrenzy.getVuforiaLocalizer for this. * Added a page to manage the TensorFlow Lite models in /sdcard/FIRST/tflitemodels. To get to the TFLite Models page: * You can click on the link at the bottom of the Manage page. * You can click on the link at the upper-right the Blocks project page. * Fixes logspam when `isBusy()` is called on a motor not in RTP mode. * Hides the "RC Password" item on the inspection screen for phone-based Robot Controllers. (It is only applicable for Control Hubs). * Adds channel 165 to Wi-Fi Direct channel selection menu in the settings screen. (165 was previously available through the web UI, but not locally in the app). ## Version 7.0 (20210915-141025) ### Enhancements and New Features * Adds support for external libraries to OnBotJava and Blocks. * Upload .jar and .aar files in OnBotJava. * Known limitation - RobotController device must be running Android 7.0 or greater. * Known limitation - .aar files with assets are not supported. * External libraries can provide support for hardware devices by using the annotation in the com.qualcomm.robotcore.hardware.configuration.annotations package. * External libraries can include .so files for native code. * External libraries can be used from OnBotJava OpModes. * External libraries that use the following annotations can be used from Blocks OpModes. * org.firstinspires.ftc.robotcore.external.ExportClassToBlocks * org.firstinspires.ftc.robotcore.external.ExportToBlocks * External libraries that use the following annotations can add new hardware devices: * com.qualcomm.robotcore.hardware.configuration.annotations.AnalogSensorType * com.qualcomm.robotcore.hardware.configuration.annotations.DeviceProperties * com.qualcomm.robotcore.hardware.configuration.annotations.DigitalIoDeviceType * com.qualcomm.robotcore.hardware.configuration.annotations.I2cDeviceType * com.qualcomm.robotcore.hardware.configuration.annotations.MotorType * com.qualcomm.robotcore.hardware.configuration.annotations.ServoType * External libraries that use the following annotations can add new functionality to the Robot Controller: * org.firstinspires.ftc.ftccommon.external.OnCreate * org.firstinspires.ftc.ftccommon.external.OnCreateEventLoop * org.firstinspires.ftc.ftccommon.external.OnCreateMenu * org.firstinspires.ftc.ftccommon.external.OnDestroy * org.firstinspires.ftc.ftccommon.external.WebHandlerRegistrar * Adds support for REV Robotics Driver Hub. * Adds fully custom userspace USB gamepad driver to Driver Station (see "Advanced Gamepad Features" menu in DS settings). * Allows gamepads to work on devices without native Linux kernel support (e.g. some Romanian Motorola devices). * Allows the DS to read the unique serial number of each gamepad, enabling auto-recovery of dropped gamepads even if two gamepads of the same model drop. *(NOTE: unfortunately this does not apply to Etpark gamepads, because they do not have a unique serial)*. * Reading the unique serial number also provides the ability to configure the DS to assign gamepads to a certain position by default (so no need to do start+a/b at all). * The LED ring on the Xbox360 gamepad and the RGB LED bar on the PS4 gamepad is used to indicate the driver position the gamepad is bound to. * The rumble motors on the Xbox360, PS4, and Etpark gamepads can be controlled from OpModes. * The 2-point touchpad on the PS4 gamepad can be read from OpModes. * The "back" and "guide" buttons on the gamepad can now be safely bound to robot controls (Previously, on many devices, Android would intercept these buttons as home button presses and close the app). * Advanced Gamepad features are enabled by default, but may be disabled through the settings menu in order to revert to gamepad support provided natively by Android. * Improves accuracy of ping measurement. * Fixes issue where the ping time showed as being higher than reality when initially connecting to or restarting the robot. * To see the full improvement, you must update both the Robot Controller and Driver Station apps. * Updates samples located at [/FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples](FtcRobotController/src/main/java/org/firstinspires/ftc/robotcontroller/external/samples). * Added ConceptGamepadRumble and ConceptGamepadTouchpad samples to illustrate the use of these new gampad capabilities. * Condensed existing Vuforia samples into just 2 samples (ConceptVuforiaFieldNavigation & ConceptVuforiaFieldNavigationWebcam) showing how to determine the robot's location on the field using Vuforia. These both use the current season's Target images. * Added ConceptVuforiaDriveToTargetWebcam to illustrate an easy way to drive directly to any visible Vuforia target. * Makes many improvements to the warning system and individual warnings. * Warnings are now much more spaced out, so that they are easier to read. * New warnings were added for conditions that should be resolved before competing. * The mismatched apps warning now uses the major and minor app versions, not the version code. * The warnings are automatically re-enabled when a Robot Controller app from a new FTC season is installed. * Adds support for I2C transactions on the Expansion Hub / Control Hub without specifying a register address. * See section 3 of the [TI I2C spec](https://www.ti.com/lit/an/slva704/slva704.pdf). * Calling these new methods when using Modern Robotics hardware will result in an UnsupportedOperationException. * Changes VuforiaLocalizer `close()` method to be public. * Adds support for TensorFlow v2 object detection models. * Reduces ambiguity of the Self Inspect language and graphics. * OnBotJava now warns about potentially unintended file overwrites. * Improves behavior of the Wi-Fi band and channel selector on the Manage webpage. ### Bug fixes * Fixes Robot Controller app crash on Android 9+ when a Driver Station connects. * Fixes issue where an OpMode was responsible for calling shutdown on the TensorFlow TFObjectDetector. Now this is done automatically. * Fixes Vuforia initialization blocks to allow user to chose AxesOrder. Updated relevant blocks sample opmodes. * Fixes [FtcRobotController issue #114](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/114) LED blocks and Java class do not work. * Fixes match logging for OpModes that contain special characters in their names. * Fixes Driver Station OpMode controls becoming unresponsive if the Driver Station was set to the landscape layout and an OnBotJava build was triggered while an OpMode was running. * Fixes the Driver Station app closing itself when it is switched away from, or the screen is turned off. * Fixes "black swirl of doom" (Infinite "configuring Wi-Fi Direct" message) on older devices. * Updates the wiki comment on the OnBotJava intro page. ## Version 6.2 (20210218-074821) ### Enhancements * Attempts to automatically fix the condition where a Control Hub's internal Expansion Hub is not working by re-flashing its firmware * Makes various improvements to the Wi-Fi Direct pairing screen, especially in landscape mode * Makes the Robot Controller service no longer be categorically restarted when the main activity is brought to foreground * (e.g. the service is no longer restarted simply by viewing the Self Inspect screen and pressing the back button) * It is still restarted if the Settings menu or Configure Robot menu is opened ### Bug fixes * Fixes [FtcRobotController issue #71](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/71) Cannot open OpModes in v6.1 Blocks offline editor * Fixes [FtcRobotController issue #79](https://github.com/FIRST-Tech-Challenge/FtcRobotController/issues/79) 6.1 causes a soft reboot on the Motorola E5 Play * Fixes issue where the Control Hub OS's watchdog would restart the Robot Controller app if the Control Hub was not able to communicate with its internal Expansion Hub * Fixes certain I2C devices not showing up in the appropriate `HardwareMap` fields (such as `hardwareMap.colorSensor`) * Fixes issue where performing a Wi-Fi factory reset on the Control Hub would not set the Wi-Fi band to 2.4 GHz * Fixes issue where OnBotJava might fail to create a new file if the option to "Setup Code for Configured Hardware" was selected * Fixes issue where performing certain operations after an OpMode crashes would temporarily break Control/Expansion Hub communication * Fixes issue where a Control Hub with a configured USB-connected Expansion Hub would not work if the Expansion Hub was missing at startup * Fixes potential issues caused by having mismatched Control/Expansion Hub firmware versions * Fixes [ftc_app issue 673](https://github.com/ftctechnh/ftc_app/issues/673) Latest matchlog is being deleted instead of old ones by RobotLog * Fixes ConceptVuforiaUltimateGoalNavigationWebcam sample opmode by correctly orienting camera on robot. * Fixes issue where logcat would be spammed with InterruptedExceptions when stop is requested from the Driver Station (this behavior was accidentally introduced in v5.3). This change has no impact on functionality. * Fixes issue where the blocks editor fails to load if the name of any TeleOp opmode contains an apostrophe. ## Version 6.1 (20201209-113742) * Makes the scan button on the configuration screen update the list of Expansion Hubs connected via RS-485 * Fixes [SkyStone issue #143](https://github.com/FIRST-Tech-Challenge/SkyStone/issues/143) * Improves web interface compatibility with older browser and Android System WebView versions. * Fixes issue in UVC driver where some cameras (e.g. certain MS Lifecams) which reported frame intervals as rounded rather than truncated values (e.g. `666667*100ns` instead of `666666*100ns` for 15FPS) would fail to start streaming. * Adds support in UVC driver for virtual PTZ control * Adds support in UVC driver for gain (ISO) control * Adds support in UVC driver for enabling/disable AE priority. This setting provides a means to tell the camera firmware either * A) It can undershoot the requested frame rate in order to provide a theoretically better image (i.e. with a longer exposure than the inter-frame period of the selected frame rate allows) * B) It *must* meet the inter-frame deadline for the selected frame rate, even if the image may be underexposed as a result * Adds support for the Control Hub OS 1.1.2 Robot Controller watchdog * The Robot Controller app will be restarted if it stops responding for more than 10 seconds * Adds support for using the Driver Station app on Android 10+ * Introduces an automatic TeleOp preselection feature * For details and usage guide, please see [this wiki entry](https://github.com/FIRST-Tech-Challenge/FtcRobotController/wiki/Automatically-Loading-a-Driver-Controlled-Op-Mode) * Shows icon next to OpMode name in the OpMode list dropdown on the Driver Station to indicate the source of the OpMode (i.e. the programming tool used to create it) * Fixes issue where the Driver Station app would exit after displaying the Configuring Wi-Fi Direct screen * Fixes Blocks and OnBotJava prompts when accessed via the REV Hardware Client ## Version 6.0 (20200921-085816) ### Important Notes * Version 6.0 is the version for the Ultimate Goal season. * Requires Android Studio 4.0. * Android Studio users need to be connected to the Internet the first time they build the app (in order to download needed packages for the build). * Version 5.5 was a moderately large off-season, August 2020, drop. It's worth reviewing those release notes below also. * Version 5.5 and greater will not work on older Android 4.x and 5.x phones. Users must upgrade to an approved Android 6.x device or newer. * The default PIDF values for REV motors have been reverted to the default PID values that were used in the 2018-2019 season * This change was made because the 2018-2019 values turned out to work better for many mechanisms * This brings the behavior of the REV motors in line with the behavior of all other motors * If you prefer the 2019-2020 season's behavior for REV motors, here are the PIDF values that were in place, so that you can manually set them in your OpModes: