Path Planning Method Based on Artificial Potential Field and Reinforcement Learning for Intervention AUVs
暂无分享,去创建一个
[1] Karl Sammut,et al. A survey on path planning for persistent autonomy of autonomous underwater vehicles , 2015 .
[2] Kevin Marshall,et al. Purple Urchin Removal , 2018 .
[3] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[4] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[5] Mahesan Niranjan,et al. On-line Q-learning using connectionist systems , 1994 .
[6] Tsuyoshi Murata,et al. {m , 1934, ACML.
[7] Toshihiro Maki,et al. Low-Altitude and High-Speed Terrain Tracking Method for Lightweight AUVs , 2018, J. Robotics Mechatronics.
[8] Maurizio Muzzupappa,et al. MoveIt!: Autonomous Underwater Free-Floating Manipulation , 2017, IEEE Robotics & Automation Magazine.