Since the "Building an AgileX Ecosystem" activity started on June 24, AgileX Robotics has received many open source cases and demonstrations from users at home and abroad in just three months, not only including R&D personnel from high-tech companies, but also many professors and students from top universities around the world.
Today, we're sharing three simulation videos contributed by Dr. Xianyu Qi of the Bionic Mobile Robot Laboratory at the School of Mechanical Engineering and Automation at BUAA. I hope this interesting exchange can bring more inspiration to our developers. So, let's get started.
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01 SLAM active
Based on the open source simulation environment of Gazebo of the AgileX SCOUT 2.0 robot, using the active SLAM method (instead of passive SLAM) based on boundary exploration, the robot can quickly perform autonomous navigation in an unknown environment.
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02 Follow me
Based on the open-source simulation environment of the Gazebo of AgileX robot and utilizing 2D lidar sensors, Kalman filter, and global data association for pedestrian detection and tracking, the robot can perform autonomous pedestrian tracking.Â
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03 Multi-target navigation
Based on the open source simulation environment of the AgileX SCOUT Gazebo robot, using the Move Base navigation package and specifying multiple target points through the program, the robot can perform multiple target points reciprocating autonomous motion.Â
