All Stories

  1. A fuzzy-based potential field hierarchical reinforcement learning approach for target hunting by multi-AUV in 3-D underwater environments

    Article • International Journal of Control, August 2019, Taylor & Francis

    Dr Xiang Cao

  2. A leader–follower formation control approach for target hunting by multiple autonomous underwater vehicle in three-dimensional underwater environments

    Article • International Journal of Advanced Robotic Systems, July 2019, SAGE Publications

    Dr Xiang Cao

  3. Path Planning for Autonomous Underwater Vehicle in Time-Varying Current

    Article • IET Intelligent Transport Systems, April 2019, the Institution of Engineering and Technology (the IET)

    Dr Xiang Cao

  4. Potential field hierarchical reinforcement learning approach for target search by multi-AUV in 3-D underwater environments

    Article • International Journal of Control, September 2018, Taylor & Francis

    Dr Xiang Cao

  5. A potential field-based PSO approach to multi-robot cooperation for target search and hunting

    Article • at - Automatisierungstechnik, December 2017, De Gruyter

    Dr Xiang Cao

  6. Multi-AUV Underwater Cooperative Search Algorithm based on Biological Inspired Neurodynamics Model and Velocity Synthesis

    Article • Journal of Navigation, May 2015, Cambridge University Press

    Dr Xiang Cao