Reinforcement Learning (RL) has achieved tremendous success in many complex decision-
making tasks. However, safety concerns are raised during deploying RL in real-world …

The essence of the path planning problems is multi-modality constraint. However, most of
the current literature has not mentioned this issue. This paper introduces the research …

Rule-based traditional motion planning methods usually perform well with prior knowledge
of the macro-scale environments but encounter challenges in unknown and uncertain …

In order to address the problem that uncertain environments may cause uncertain
disturbances to the motion planning of unmanned surface vehicles (USV) due to the effects …

Aiming at an obstacle avoidance problem with dynamic constraints for Unmanned Surface
Vehicle (USV), a method based on Circle Grid Trajectory Cell (CGTC) is proposed. Firstly …

Aiming at the problem that unmanned surface vehicle (USV) motion planning is disturbed by
effects of wind and current, a USV motion planning method based on regularization …