Xiliang Chen
Papers
1
Total Citations
6
H-Index
1
About
Xiliang Chen is a leading researcher in collaborative robotics, with a primary focus on sensor design and precision measurement for robotic systems. His key research areas include joint torque sensor (JTS) optimization, crosstalk analysis, and structural mechanics for robotic applications. Chen’s most notable contribution is his pioneering work on shear beam-type JTS, where he systematically addressed the critical yet underexplored issue of crosstalk resistance—a key factor in minimizing measurement errors in real-world collaborative robots. His highly cited 2023 paper, "Design, optimization, and crosstalk analysis for robot joint torque sensor of shear beam structure," has already garnered 6 citations, reflecting its immediate impact on the field. By proposing a novel mechanical structure that enhances sensor accuracy and reliability, Chen’s work directly advances the performance of collaborative robots, enabling safer and more precise human-robot interaction. His research is essential reading for engineers and researchers working on robot sensing and control, and his contributions are shaping the next generation of torque measurement technology.
Research Focus
Key Achievements
Top Papers
- 1