Autonomous navigation

Navigation

B.A.R.M's navigation combines cameras, LIDAR, IMU, mapping, path detection, and obstacle avoidance so the robot can move through hospitals, mapped spaces, and rural routes in the original concept.

See Ecosystem

Sensor and camera systems

Stereo cameras

Stereo cameras for long-range 3D recognition and mapping

2D LIDAR

2D LIDAR for real-time 360-degree obstacle detection

HD color cameras

HD color cameras for path recognition and backup perception

3D LIDAR or time-of-flight cameras

3D LIDAR or time-of-flight cameras for low-light and fine field-of-view mapping

IMU

IMU for relative orientation and movement inside hospitals or mapped environments

RTK GNSS and marked-road approaches

RTK GNSS and marked-road approaches for rural movement in the original B.A.R.M concept

Mapping

Path detection, hospital mapping, and marked-road movement

The old navigation page described Cartesian mapping, road or tape mapping, GNSS/RTK support, and route optimization for B.A.R.M. In hospitals, the newer pitch direction emphasizes indoor maps, obstacle avoidance, IMU-based localization, and integration with building systems such as elevators where supported.

Navigation map with robot and destination points

Recovered navigation visuals