RoboMaster EP

RoboMaster EP, a compact, agile robotic platform, serves as a versatile testbed for multi-agent research, particularly in autonomous navigation and competitive scenarios like the RoboMaster competition. Current research focuses on improving autonomous capabilities through advancements in object detection (e.g., using YOLOv5 and DeepSORT for target recognition and tracking) and control algorithms (e.g., PID and Kalman filter integration for precise aiming). This platform facilitates the development and evaluation of sim2real transfer learning techniques, contributing to advancements in embodied AI and providing a standardized benchmark for evaluating mobile robot algorithms in complex, dynamic environments.