Limin Shen
Papers
4
Total Citations
23
H-Index
3
About
Limin Shen is a robotics researcher whose work focuses on the motion planning and control of redundant robotic manipulators, with particular emphasis on repetitive path planning (RPP) and repetitive motion planning (RMP). Their major contributions include the development of novel discrete-time RPP and RMP schemes based on pseudoinverse formulations, which address the critical challenge of ensuring joint-angle repeatability in cyclic tasks. Shen’s 2020 paper on discretizing a repetitive path planning scheme for redundant robot manipulators has garnered 10 citations, while a follow-up 2024 study incorporating joint constraints has received 9 citations, demonstrating sustained interest in their work. A 2021 paper introduced a new RMP scheme with cube end-effector planning precision, further refining the accuracy of these methods. Most recently, Shen has extended their expertise to exoskeleton technology, exploring motion control with potential energy minimization in a 2025 publication. Their research bridges theoretical discretization techniques with practical robotic applications, making significant strides in enhancing the efficiency and precision of redundant manipulators—a cornerstone of modern industrial and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 4Motion control of exoskeleton arm with potential energy minimization1 citations · 2025