Lewei Zhi
Papers
1
Total Citations
14
H-Index
1
About
Lewei Zhi is a researcher in robotics and control systems, with a primary focus on sensorless force estimation and friction modeling for robot manipulators. Their major contribution lies in developing a novel approach that integrates a LuGre-linear-hybrid friction model with an improved square root cubature Kalman filter to accurately estimate external forces without the need for additional sensors. This work addresses critical challenges in robotic systems, such as complex joint friction, model uncertainty, and signal noise, which often degrade estimation accuracy. By reducing system cost and complexity while maintaining high precision, Zhi’s research has practical implications for industrial automation and human-robot interaction. Their most-cited paper, published in 2022, has garnered 14 citations, reflecting its growing influence in the field. Zhi’s work is particularly notable for advancing sensorless techniques, making robotic systems more accessible and efficient. This achievement underscores their commitment to solving real-world engineering problems, positioning them as a promising contributor to the robotics community.
Research Focus
Key Achievements
Top Papers
- 1