Papers
1
Total Citations
4
H-Index
1
About
Shijie Su is a pioneering researcher in bio-inspired robotics and intelligent control systems, with a primary focus on advancing autonomous underwater vehicles. His most influential work, "Intelligent Control Strategy for Robotic Manta via CPG and Deep Reinforcement Learning" (2024), has already garnered 4 citations, demonstrating early impact in the field. In this study, Su integrates Central Pattern Generators (CPG) with Deep Reinforcement Learning to tackle the critical challenge of achieving efficient, autonomous swimming in complex underwater environments. By mimicking the exceptional maneuverability and stealthiness of manta rays, his research bridges the gap between biological inspiration and practical robotic control. Su's major contribution lies in developing a novel control framework that enables robotic mantas to adaptively navigate turbulent waters while maintaining energy efficiency—a breakthrough with implications for marine exploration, environmental monitoring, and defense applications. His work represents a significant step forward in creating truly autonomous underwater robots capable of operating in unstructured environments. As an emerging leader in bio-robotics, Su's innovative fusion of neural control and reinforcement learning continues to inspire new approaches to intelligent underwater locomotion.
Research Focus
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Top Papers
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