Papers
9
Total Citations
189
H-Index
8
About
Yanhu Pei is a leading researcher in intelligent robotic assembly and manipulation, with a focus on overcoming the challenges of complex, uncertain, and non-contact operating environments. His major contributions lie in developing novel control strategies and algorithms for industrial robots, particularly for precision tasks like circular peg-in-hole assembly and bolt fastening. Pei pioneered a noncontact, hybrid-vision-guided control method for 6-DOF robots, achieving high efficiency and adaptability where traditional methods fail (42 citations). He also advanced collision detection with a pseudo-distance algorithm using convex-plane-polygons representation (40 citations) and introduced screw-theory-based trajectory planning to minimize synthesis errors (27 citations). His comprehensive review on robot-guided intelligent bolt assembly under complex conditions (26 citations) has become a key reference in the field. Pei’s work on stiffness modeling for rotational joints, considering contact mechanics, further enhances motion accuracy in high-speed operations. With over 180 total citations across his most-cited papers, Pei’s research is instrumental in pushing the boundaries of autonomous, precise, and safe robotic manipulation in industrial settings.
Research Focus
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Top Papers
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