Papers
6
Total Citations
89
H-Index
4
About
Hui-teng Yan is a robotics researcher whose work spans trajectory planning, kinematic modeling, and precision manufacturing, with contributions stretching across more than three decades of robotics development. Yan's most influential work, "A New Approach to Time-Optimal Trajectory Planning with Torque and Jerk Limits for Robot" (2021), has garnered 68 citations, reflecting its significance in advancing smooth, efficient robot motion under realistic physical constraints — a critical challenge in industrial automation. Early contributions include foundational research on coordinated multi-manipulator systems, exploring minimum-time trajectories for multiple robots handling shared objects (1989) and the nuanced kinematics of closed-chain two-robot systems, where Yan introduced a valuable taxonomy of self-motions — primary, separable, and partial — to characterize system behavior. More recently, Yan has turned attention to robot accuracy and manufacturing precision, developing geometric error compensation methods for Delta robots and kinematic calibration strategies for mobile machining systems handling large-scale components. This progression from motion planning theory to real-world manufacturing challenges highlights a career dedicated to bridging fundamental robotics science with practical industrial application, making Yan's body of work a valuable resource for researchers in robot kinematics, control, and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Self motions for a two robot closed chain system6 citations · 2002
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