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  1. Autonomous mobile robots
  2. Obstacle detection algorithm
  3. ODS use cases

Obstacle Detection System in autonomous mobile robots (AMRs): Use cases

Obstacle detection adds significant value to AMRs. It overcomes common AMR challenges and enhances robot capabilities by enabling autonomous movement and collision avoidance in environments like warehouses or manufacturing facilities. The two key ODS approaches, zone control and occupancy grids, are designed to satisfy both AGV (zone control) and AMR (occupancy grid) use cases. 

AMR (Autonomous Mobile Robot)

Finds available space and maneuvers around objects.

Approach: Occupancy grid

  • 200 x 200 grid with 5 cm squares correlating directly to where the camera and robot is
  • Detects percentage of occupancy in each square
  • Provides a detailed representation of the environment
  • Can handle more complex environments such as, narrow passages and varied obstacles

AGV (Automated Guided Vehicle)

Slows down and stops until object is gone.

Approach: Zone control

  • 3 zones: red (stop), yellow (warning), and green (pre warning)
  • Detects something in the zone but not where in the zone
  • Simpler, generic method
  • More reactive

By employing ODS, robots promptly identify obstacles, adapt their paths, and prevent collisions in real-time. Increasing the overall efficiency of the mobile robot.


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