chassisworld

How does a transport robot avoid obstacles?

ChassisWorld’s autonomous mobile robots (AMRs) rely on a core obstacle avoidance technology built around “Multi-Sensor Fusion + 360° Omnidirectional Perception.” Equipped with self-adaptive 3D LiDAR, depth cameras, and fused with infrared and ultrasonic sensors, the system creates a gapless perception network. This enables precise detection of both static obstacles (shelving, equipment, corners) and real-time identification of dynamic targets (personnel, moving forklifts, temporarily placed goods). The perception range covers the entire area around the robot, eliminating blind spots.

The obstacle avoidance performance combines speed, precision, and stability, meeting industrial-grade safety standards:

  1. Rapid Response: Reaction time for obstacle identification and path replanning is as low as milliseconds. The system provides instant response in sudden situations, such as a person abruptly crossing its path.
  2. High Precision: Obstacle positioning error is ≤ ±1 cm, allowing for accurate calculation of detour paths. This prevents collisions with edges or goods during avoidance maneuvers.
  3. Broad Adaptability: Whether in narrow aisles, complex intersections, or dynamic workshops with temporary goods, the robot operates smoothly without deviation, consistently following the optimal path.
  4. Comprehensive Safety Logic: When encountering close-range obstacles, the robot first decelerates with a warning. It then chooses to bypass or stop based on available space, avoiding sudden stops that could impact cargo and ensuring maximum personnel safety.

Compared to traditional AGVs, which often rely on fixed paths and have limited, inflexible obstacle avoidance, ChassisWorld’s AMRs feature a battle-tested avoidance algorithm. Proven in thousands of manufacturing workshops, it delivers superior safety and stability in dynamic, complex industrial environments, fully meeting the high-frequency, high-demand搬运 needs of modern factories.

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