Solution Description
The solution uses the simultaneous localization and mapping (SLAM) technology to generate environmental maps in real time and achieve centimeter-level positioning, ultra-long-distance navigation, and detect obstacles through high-resolution point cloud data. It combines AI algorithms (such as reinforcement learning) to dynamically adjust the path, and overall improves the navigation accuracy, obstacle avoidance ability and environmental adaptability of AGV (automatic guided vehicles) and AMR (autonomous mobile robots).
Application scenarios: format warehouse robots, unmanned forklifts, unmanned AGV, light AGV, AMR, etc.
Solution Description
The solution uses the simultaneous localization and mapping (SLAM) technology to generate environmental maps in real time and achieve centimeter-level positioning, ultra-long-distance navigation, and detect obstacles through high-resolution point cloud data. It combines AI algorithms (such as reinforcement learning) to dynamically adjust the path, and overall improves the navigation accuracy, obstacle avoidance ability and environmental adaptability of AGV (automatic guided vehicles) and AMR (autonomous mobile robots).
Application scenarios: format warehouse robots, unmanned forklifts, unmanned AGV, light AGV, AMR, etc.
Program Features
Cost-effective and high reliability
Anti-interference and environmental adaptability
Integrated navigation and obstacle avoidance functions
Can be deeply integrated with AI algorithms
Program Features
Cost-effective and high reliability
Anti-interference and environmental adaptability
Integrated navigation and obstacle avoidance functions
Can be deeply integrated with AI algorithms
Customer Cases
Customer Cases
