ROS2 Tutorials - ROS2 Jazzy and Gazebo Implementation of Potential Field Method for Robot Path Planning Using Lidar

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What you'll learn

Content missing – cannot generate learning outcomes
Content missing – cannot generate learning outcomes
Content missing – cannot generate learning outcomes
Content missing – cannot generate learning outcomes

This course includes

47.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Full Transcript

#lidar #ros2jazzy #robotics #airforce Files and manual are given here: https://ko-fi.com/s/60965914d9 In this ROS2 Jazzy and Gazebo and robotics tutorial, we explain how to implement from scratch a potential field method with lidar sensor for robot path planning and obstacle avoidance. We explain how to implement a potential field method for obstacle avoidance of a mobile robot. We explain how to implement the method in Python. We thoroughly explain how to detect obstacles using a lidar and how to compute attractive and repulsive functions and how to implement them in ROS2 and Python. Then, we explain how to simulate the potential field method in Gazebo and ROS2. Before watching this tutorial, you need to watch the following tutorials: Mobile robot and lidar modeling: https://www.youtube.com/watch?v=wOa1m8hzrgQ Mathematical foundations and derivation of the potential field method: https://www.youtube.com/watch?v=FT5DQ-SGYL4