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Author

LI Zhong-feng

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#reinforcement learning Open access Oct 2026

Integrated Geometry and Adaptive PTO Optimisation of Hybrid Wind–Wave Energy Systems Using Reinforcement Learning-Assisted Co-Evolution

Hybrid wind–wave energy systems (HWESs) require coordinated geometry and control design to balance long-term energy capture and floating-platform response under variable offshore conditions. This study develops a constrained multi-objective framework that jointly optimises fixed wave energy converter (WEC) geometry and...

LI Zhong-feng, Chenglong Wang, Jianxue Zhang et al. · 0 citations
#reinforcement learning Open access Sep 2026

Reinforcement learning-guided multi-objective trajectory planning for obstacle avoidance in robotic manipulators

This paper proposes a reinforcement learning (RL)-guided multi-objective trajectory planning framework, termed RL-MOP-HNE, for a 6-DOF UR5 manipulator, which simultaneously minimizes path length, energy consumption, and execution time while satisfying collision-avoidance, kinematic, and dynamic constraints.

Zhen-Long Zhao, Shu-Tao Hao, Bi-Hao Jin et al. · 0 citations

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