Papers
21
Total Citations
459
H-Index
14
About
Chengrui Zhang is a prominent robotics and intelligent manufacturing researcher whose work spans robot motion control, process planning, and advanced machining systems. His research has made significant contributions to industrial robotics, addressing fundamental challenges in trajectory planning, dynamic modeling, and robotic manipulation across diverse manufacturing contexts. Zhang's most impactful contributions include developing intelligent process planning frameworks for robotic welding (72 citations) and pioneering posture optimization methods for robotic machining that account for spindle weight and cutting forces (71 citations). His work on dynamic parameter identification for industrial robots, which innovatively accounts for joint elasticity using only motor encoders, has advanced the field of robot calibration and control. Complementing this, his extended state observer-based control strategies deliver high-precision, robust trajectory tracking even under parameter uncertainties and external disturbances — a critical challenge in real-world deployments. Zhang has also contributed to emerging areas including NURBS-based laser surface treatment, Mecanum-wheeled robot navigation, grasp detection in disordered manufacturing environments, and online chatter detection in robotic machining. With over 340 cumulative citations across his top ten papers alone, Zhang's body of work reflects a consistent commitment to bridging theoretical robotics with practical intelligent manufacturing solutions, making him a valuable reference for researchers working at this intersection.
Research Focus
Key Achievements
Top Papers
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