Papers
10
Total Citations
180
H-Index
5
About
Long Chen is a leading researcher in bio-inspired robotics and intelligent control systems, with a focus on developing agile, multi-modal robots that mimic biological organisms. His major contributions include pioneering locomotion control for hexapod robots using biomimetic central pattern generators (CPGs) based on Matsuoka and Hopf neural oscillators, enabling radially distributed legs to achieve coordinated, rhythmic movement. He also advanced legged robot agility by designing an omnidirectional jumping mechanism inspired by jumping spiders, achieving diverse motion forms with a 4-degree-of-freedom kinematic model. Chen’s work extends to human-robot interaction, where he developed a fuzzy variable admittance control system that accurately estimates human intention for stable physical interaction. His research on sensor-based force decoupling for macro-mini manipulators and multi-sensor fusion for UAV power line inspection demonstrates practical applications in automation and infrastructure. With over 180 citations across his top papers, including 69 for his seminal hexapod control work, Chen’s impact is evident. Notably, his recent work on a heterogeneous master-slave robotic system for endoscopic submucosal dissection highlights his translational contributions to medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Sensor-based force decouple controller design of macro–mini manipulator25 citations · 2022
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- 6The control of a multi-legged robot based on Hopf oscillator5 citations · 2017
- 7
- 8UAV power line inspection based on multi-sensor fusion4 citations · 2022
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