Papers
9
Total Citations
118
H-Index
6
About
Bingchen Jin is a leading roboticist specializing in quadruped locomotion, force control, and high-payload legged systems. His core research focuses on enabling dynamic, compliant, and robust locomotion for electrically actuated quadruped robots, particularly under severe disturbances and heavy loads. Jin’s major contributions include pioneering unknown payload adaptive control, which allows quadrupeds to maintain stable gait without precise parameter estimation (29 citations), and developing joint torque estimation methods for gear-driven, torque-sensorless robots to achieve dynamic and compliant control (25 citations). He also introduced prismatic quasi-direct-drives for high-payload capacity locomotion (22 citations) and designed a flexible multimodal sole sensor for sensing complex ground information (13 citations). Notably, Jin led the bionic architecture design of Pegasus, a high-payload quadrupedal robot inspired by canine anatomy, and developed locomotion control strategies for navigating narrow passages. His work has garnered over 100 citations, reflecting significant impact in the field. Jin’s research bridges hardware innovation and control theory, advancing the practical deployment of legged robots in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 6Single leg compliance control for quadruped robots6 citations · 2017
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