ROS Autonomous Navigation & Object Avoidance

Описание к видео ROS Autonomous Navigation & Object Avoidance

I configured ROS navigation stack, and robot localization stack on my custom designed mobile robot. The mobile robot calculates its odometry from IMU data and quad-encoder data at a rate of 20Hz. Adaptive Monte Carlo Localization is used to localize the mobile robot within the map. Unique path plans are generated at a continuous rate guiding the mobile robot past its obstacles toward its goal.
GitHub repository: https://github.com/tgilmour94/ros_amr

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