Intelligent Robot Laboratory
Intelligent Robotics Laboratory
The Intelligent Robotics Laboratory is located in Room 451 of Building B3 on the University Town Campus of South China University of Technology, with a usable area of 93 m². The laboratory is divided into two areas: one is the teaching area, equipped with a multimedia teaching projector, network equipment, and student desks and chairs, where teachers and students can conduct classroom teaching and discussion activities; the other is the practical area, a blank and free space of approximately 50 m², which can be used for the training and demonstration of robotic equipment. In addition, the laboratory is also equipped with professional explosion-proof boxes and fire extinguishers to ensure laboratory safety.
Based on 15 sets of intelligent small cars, the laboratory is equipped with one set of the Beatle-colony Mobile Robot Swarm Intelligent Scenario-based Teaching Experimental Platform, which together form a mobile robot swarm control system.
The Beatle-colony Mobile Robot Swarm Intelligent Scenario-based Teaching Experimental Platform is built on ROS (Robot Operating System) mobile cars. It utilizes key technologies such as motion planning, autonomous navigation and obstacle avoidance, action following, swarm formation, and multi-vehicle target collaborative operation to realize the swarm collaborative control of multiple mobile robots. The platform consists of hardware and software components including mobile robot bodies, swarm control systems, network communication systems, and open-source swarm control algorithm resource packages.
The Beatle-colony platform is applicable to multi-disciplinary majors such as Automation, Robotics Engineering, Artificial Intelligence, and Intelligent Science and Technology. It can support teachers and students of relevant majors in conducting research and curriculum practice in various fields, including robot programming, computer vision, deep learning, image recognition, SLAM (Simultaneous Localization and Mapping) navigation planning, multi-sensor information fusion, and multi-agent swarm control.