Papers

35

Total Citations

567

H-Index

13

About

Hongzhe Jin is a robotics researcher whose work spans kinematic control, bio-inspired robotics, and advanced robotic systems design. His research has made significant contributions to the fields of redundant manipulator control, dynamic parameter identification, and novel robot locomotion strategies. Jin's most influential work, "Real-Time Kinematic Control for Redundant Manipulators in a Time-Varying Environment" (2019, 75 citations), introduced an energy conservation-based obstacle avoidance method enabling robots to dynamically adapt to complex, changing environments. His research on flexible joint identification and adaptive control (47 citations) addressed critical challenges in precise robotic actuation without relying on additional sensors, advancing practical implementation in industrial settings. A distinctive thread in Jin's research is his exploration of unconventional robotic platforms. His studies on one-wheel pendulum robots (46 citations), gyroscopically stabilized unicycle robots, and biomimetic hexapod systems demonstrate his versatility and creativity in balancing theory with experimental validation. His 2020 work on magnetic soft robots (37 citations) reflects his forward-looking interest in soft robotics and wireless micro-scale systems. With contributions spanning modular self-reconfiguring robots, serpenoid locomotion, and terrain-adaptive force sensing, Jin has established himself as a broad and innovative force in modern robotics research, accumulating nearly 400 citations across his most recognized publications.

Research Focus

Key Achievements

13
H-Index
35
Papers
567
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Kinematic Control for Redundant Manipulators in a Time-Varying Environment: Multiple-Dynamic Obstacle Avoidance and Fast Tracking of a Moving Object
75 citations · 2019
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: Harbin Institute of Technology, Pusan National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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