Project Introduction:
The team has carried out research on autonomous navigation technology and system development for mobile robots. The research includes robot kinematics, target recognition and tracking algorithms, SALM (Simultaneous Localization and Mapping) positioning and mapping algorithms, global and local planning algorithms, and map-free motion planning algorithms. The team has developed systems such as the LiDAR SLAM navigation system, visual SLAM navigation system, map-free visual navigation system, and Zigbee positioning system. These systems feature autonomous localization, autonomous mapping, autonomous motion planning, and autonomous motion control, enabling mobile robots to achieve autonomous navigation in complex environments.
Application Areas:
Outdoor environments such as reconnaissance, patrolling, and earthquake search and rescue. Indoor environments such as production workshops, shopping malls, underground spaces, and other fields.
Technical Advantages:
Small positioning error, high real-time reconnaissance capability.
