Collision Avoidance Control for a Two-wheeled Vehicle under Stochastic Vibration using an Almost Sure Control Barrier Function
This addresses safety for autonomous mobile robots under irregular disturbances, but is incremental as it applies an existing stochastic method to a specific vehicle type.
The study tackled collision avoidance for a two-wheeled vehicle under stochastic vibration by designing an almost sure safety-critical control law using stochastic control barrier functions, and confirmed its validity through experiments.
In recent years, many control problems of autonomous mobile robots have been developed. In particular, the robots are required to be safe; that is, they need to be controlled to avoid colliding with people or objects while traveling. In addition, since safety should be ensured even under irregular disturbances, the control for safety is required to be effective for stochastic systems. In this study, we design an almost sure safety-critical control law, which ensures safety with probability one, for a two-wheeled vehicle based on the stochastic control barrier function approach. In the procedure, we also consider a system model using the relative distance measured by a 2D LiDAR. The validity of the proposed control scheme is confirmed by experiments of a collision avoidance problem for a two-wheeled vehicle under vibration.