LI Nin
Papers
1
Total Citations
6
H-Index
1
About
LI Nin is a researcher in collaborative robotics, with a focus on enhancing the precision and reliability of robot joint torque sensors (JTS). Their key research areas include sensor design, structural optimization, and crosstalk analysis—critical for improving measurement accuracy in human-robot interaction. Nin’s most notable contribution is the development of a shear beam-type JTS with superior crosstalk resistance, a largely underexplored factor in sensor error evaluation. Their 2023 paper, "Design, optimization, and crosstalk analysis for robot joint torque sensor of shear beam structure," has garnered 6 citations, laying groundwork for more robust sensor design in collaborative robots. By addressing the mechanical and analytical challenges of crosstalk, Nin’s work helps reduce measurement errors, advancing the safety and performance of robots working alongside humans. This achievement marks a meaningful step in sensor technology, with potential to influence future research in torque sensing and robot control.
Research Focus
Key Achievements
Top Papers
- 1