Haijun Peng
Papers
34
Total Citations
881
H-Index
17
About
Haijun Peng is a prominent researcher specializing in robotics, structural dynamics, and optimal control, with a particular focus on continuum robots and advanced computational methods. His work has fundamentally advanced the modeling, design, and control of cable-driven continuum robots — flexible, hyper-redundant systems capable of operating in constrained environments where traditional rigid robots cannot. Among his most celebrated contributions is a symplectic instantaneous optimal control method for robot trajectory tracking using differential-algebraic equation models (2019, 127 citations), which elegantly resolved longstanding instability challenges inherent in such systems. Peng has also pioneered innovative continuum robot designs inspired by biological systems, including elephant trunks and seahorse tails, enabling programmable motion patterns and superior grasping capabilities. His comprehensive review of numerical approaches for soft robot dynamics (68 citations) has become an essential reference for researchers entering the field. With contributions spanning real-time dynamic modeling, tension perception, tensegrity robots, and space robotics applications, Peng's cumulative citation impact reflects the breadth and significance of his influence. His work bridges fundamental mechanics with cutting-edge engineering design, making him an indispensable figure in next-generation robotic systems research.
Research Focus
Key Achievements
Top Papers
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- 5Morphology and Tension Perception of Cable-Driven Continuum Robots57 citations · 2022
- 6A modular approach for dynamic modeling of multisegment continuum robots54 citations · 2021
- 7Novel Design of a Cable-Driven Continuum Robot With Multiple Motion Patterns50 citations · 2022
- 8A unified framework for mechanical modeling and control of tensegrity robots40 citations · 2023
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