To address this issue, Reeman's robotic pallet trucks rely on a core obstacle avoidance system based on 'multi-sensor fusion + 360° omnidirectional perception' technology. Equipped with custom-adapted 3D LiDAR and depth cameras, this system integrates infrared sensors and ultrasonic sensors to form a comprehensive perception network. This enables precise detection of static obstacles (shelving, equipment, corners) and real-time identification of dynamic targets (personnel, moving forklifts, temporarily stacked goods), covering the entire area surrounding the robot with no blind spots.
Obstacle avoidance performance combines 'speed, accuracy, and stability,' meeting industrial-grade safety standards:
① Rapid response: Obstacle recognition + path calculation response time as low as milliseconds, enabling instant reaction to sudden events (e.g., personnel abruptly crossing aisles);
② High avoidance precision: Obstacle positioning error ≤±1cm, precisely calculating detour paths to prevent collisions with edges or goods during avoidance;
③ Versatile adaptability: Operates smoothly without deviation in narrow aisles, complex intersections, or dynamic workshops with temporary goods storage, consistently following optimal routes;
④ Comprehensive safety logic: Upon detecting close-range obstacles, it first decelerates with warning signals, then selects either detouring or pausing based on available space. This prevents impact damage to goods from abrupt stops while maximising personnel safety.
