Collaborative Research on AGV Vehicles

ChingMu Vision, leveraging its proprietary motion capture technology, has bolstered the efforts of Dr. Yan Chaobo and his research team from the School of Automation, Xi'an Jiaotong University, by providing motion capture technical support and a comprehensive solution for their research project on "Collaborative AGV Vehicles."

The research scope encompasses various aspects, including path planning, obstacle avoidance, safety distance testing, autonomous navigation, and coordinated tracking among multiple vehicles. By utilizing the motion capture system, individual vehicle information and the relative positional data of the entire fleet, such as speed, direction, and turning angles during navigation, are visualized, offering robust support for algorithm validation. Through simulation tests, comparisons with predetermined instructions, and adjustments, the precision of collaborative control among the vehicles and the efficiency of task completion are further enhanced.