Xiangdong Zhou
Papers
6
Total Citations
95
H-Index
4
About
Xiangdong Zhou is a leading researcher in industrial robotics, with a focus on precision calibration, motion planning, and intelligent control. His work addresses critical challenges in robot accuracy and adaptability for manufacturing. Zhou’s major contributions include developing a non-contact R-test calibration method for industrial robots (37 citations), which significantly improves error measurement without expensive equipment. He also pioneered a tolerance-constrained G2 continuous path smoothing technique for SCARA robots (35 citations), enhancing smoothness and precision in automated tasks. In the realm of control, Zhou proposed an adaptive torque observer based on fuzzy inference for flexible joints (11 citations), advancing load estimation in changing robotic orientations. His earlier work on obstacle space modeling and moving-window RRT (7 citations) offers efficient motion planning for cluttered environments. Additionally, Zhou introduced a cost-effective kinematic calibration method using a single laser displacement sensor (3 citations), democratizing high-precision calibration. His recent exploration of coaxial magnetic gears for motor integration (2025) signals a forward-looking interest in novel actuation. With over 95 total citations and a consistent record of innovation, Zhou’s research is pivotal for students and engineers seeking to enhance robot performance, reduce costs, and enable smarter, more flexible automation.
Research Focus
Key Achievements
Top Papers
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