Tutorial: Vision-Based Formation Control with Differential-Drive Robots
Overview
This tutorial introduces multi-robot formation control using differential-drive robots, an overhead camera, and Python. It covers hardware and software setup, robot pose estimation via ArUco markers, formation geometry, feedback control, system integration, and error evaluation. The guide emphasizes translating mathematical concepts into coordinated behaviors on physical robots and includes an open-source GitHub repository with Python implementations and demonstrations for hands-on learning.
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- arXiv Robotics — research abstractsSignalTutorial: Vision-Based Formation Control with Differential-Drive Robots
This tutorial introduces multi-robot formation control using differential-drive robots, an overhead camera, and Python. It covers hardware and software setup, robot pose estimation via ArUco markers, formation geometry, feedback control, system integration, and error evaluation. The guide emphasizes translating mathematical concepts into coordinated behaviors on physical robots and includes an open-source GitHub repository with Python implementations and demonstrations for hands-on learning.
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