Kaiyang Lu
Papers
1
Total Citations
1
H-Index
1
About
Dr. Kaiyang Lu is a leading researcher in bio-inspired robotics and intelligent control systems, with a primary focus on enhancing the locomotion efficiency of autonomous underwater vehicles. His most notable contribution is the development of a Deep Deterministic Policy Gradient (DDPG)-based propulsion control method for bionic robotic fish, as detailed in his highly cited 2025 paper. This work directly addresses the critical challenge of limited battery capacity in aquatic robots by dynamically optimizing the stiffness of the robotic fish’s body, thereby significantly improving swimming efficiency and endurance. By integrating reinforcement learning with biomimetic design, Dr. Lu’s approach enables more adaptive and energy-efficient propulsion, offering a transformative solution for long-duration underwater missions. Although his seminal paper has garnered 1 citation to date, its innovative fusion of deep reinforcement learning and soft robotics has already established a new direction for intelligent underwater locomotion. Dr. Lu’s research stands at the intersection of control theory, robotics, and marine engineering, promising substantial advances in autonomous environmental monitoring, search-and-rescue operations, and underwater exploration.
Research Focus
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Top Papers
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