From f76dbc4f97553fb5ecfa4de4b46f9d1beab1bfc0 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Thu, 14 Nov 2019 13:28:17 -0500 Subject: [PATCH] Updated Vuforia for Blocks (markdown) --- Vuforia-for-Blocks.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Vuforia-for-Blocks.md b/Vuforia-for-Blocks.md index 1a47fd4..b9fbef6 100644 --- a/Vuforia-for-Blocks.md +++ b/Vuforia-for-Blocks.md @@ -1,7 +1,7 @@ ## Background -FTC robots have many ways to autonomously navigate the game field. This tutorial introduces Vuforia, a software tool that can use camera images to determine the robot’s location on the field. A [separate tutorial](TensorFlow-for-Blocks-.) describes TensorFlow Lite, a tool that supplements Vuforia to identify and track certain game elements as 3D objects. +FTC robots have many ways to autonomously navigate the game field. This tutorial introduces Vuforia, a software tool that can use camera images to determine the robot’s location on the field. A [separate tutorial](TensorFlow-for-Blocks) describes TensorFlow Lite, a tool that supplements Vuforia to identify and track certain game elements as 3D objects. These two tools combine several high-impact technologies: vision processing, machine learning, and autonomous navigation. Awareness of this software can spark further interest and exploration by FTC students as they prepare for future studies and careers in high technology.