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RISLongRange RiskAware Path Planning for Autonomous Ships in Complex and Dynamic Environments
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ...
An Enhanced Deep Reinforcement Learning Approach to Motion Planning With Knowledge Transfer and Online Demonstrations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Deep reinforcement learning is now widely applied in motion planning problems for autonomous systems due to its model-free nature and its ability to solve complex control problems through trial and error. However, ...
Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ...