Yilei Zhong
Papers
1
Total Citations
5
H-Index
1
About
Yilei Zhong is a rising researcher in the field of robotics and control systems, with a primary focus on physical human-robot interaction (pHRI) and advanced sliding mode control methodologies. Their most notable contribution is the development of a "Practical Reset Logarithmic Sliding Mode Control" framework, which addresses the critical challenge of safe and intuitive human-robot collaboration. This work introduces a novel switching term within a logarithmic sliding mode observer, enabling sensorless estimation of an operator’s behavior in Lagrangian systems. By eliminating the need for external force sensors, this approach significantly enhances the practicality and cost-effectiveness of pHRI systems. The paper, published in 2024, has already garnered 5 citations, signaling its early impact and relevance in the robotics community. Zhong’s research bridges theoretical control design with real-world application, offering a robust solution for tasks requiring precise force regulation and adaptive response. Their work is particularly valuable for students and engineers exploring sensorless interaction strategies, as it provides a clear pathway to implementing safe, observer-based control in collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1