About

Huayan Pu is a versatile robotics researcher whose work spans an impressive breadth of domains, including human-robot interaction, soft robotics, autonomous systems, and biomedical robotics. His most cited contribution, "Adaptive Impedance Control of Human–Robot Cooperation Using Reinforcement Learning" (2017, 171 citations), established him as a pioneer in applying reinforcement learning to collaborative robotic control, enabling robots to adaptively assist human operators in real time. His research into autonomous aerial and marine systems is equally notable, with high-impact work on fault-tolerant airship control (131 citations) and multi-USV formation coordination using reinforcement learning. Pu has also made significant strides in soft robotics, developing legless jumping robots capable of continuous, steerable locomotion (117 citations) and a magnetic multi-layer soft robot for targeted biomedical adhesion (122 citations). His contributions to biomedical automation — including robotic sperm immobilization for clinical ICSI and embryo vitrification — demonstrate a commitment to translating robotics into real-world medical practice. A comprehensive review on semantic SLAM (98 citations) further reflects his broad technical perspective. With over 900 cumulative citations, Pu's work continues to shape the future of intelligent, adaptive, and biomedical robotic systems.

Research Focus

Key Achievements

18
H-Index
74
Papers
1,418
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Impedance Control of Human–Robot Cooperation Using Reinforcement Learning
171 citations · 2017
📈 Most Prolific Year: 2024 (15 Papers)
🤝 Key Collaborators: 205
🏛 Institutions: Shanghai University, Chongqing University, Huazhong University of Science and Technology, State Key Laboratory of Mechanical Transmission

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 35 days ago