Papers
9
Total Citations
54
H-Index
5
About
Chengzhi Su is a robotics researcher whose work bridges tactile sensing, robot locomotion, and industrial calibration. His key research areas include slippage detection for robotic manipulation, bipedal walking robots with parallel mechanisms, and advanced control strategies for heavy-duty robots. Su’s most influential contribution is a data correlation approach for slippage detection using tactile sensor arrays, which introduced two techniques independent of sensor signal type—a versatile solution with 13 citations. He has also made significant strides in robot design, developing a novel biped walking robot with 6-DOF parallel leg mechanisms that offers superior load capacity and environmental adaptability. His work on dynamic analysis and decoupled control using super twisting algorithms addresses the challenge of flexible feet in heavy-load robots, while his hybrid improved BRO algorithm advances inverse kinematics for 7R robots. Su’s research has accumulated over 50 citations, with notable achievements in fuzzy control for permanent magnet synchronous motors and dual-PSD calibration systems for industrial robots. His 2025 work on Riemannian manifold-based inverse kinematics demonstrates his ongoing commitment to solving complex robotic challenges.
Research Focus
Key Achievements
Top Papers
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- 3Design and Research of a Walking Robot with Two Parallel Mechanisms9 citations · 2021
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