Ru Lai

Kyushu Institute of Technology, Beijing Institute of Technology

Papers

Total Citations

H-Index

About

Ru Lai is a robotics researcher whose work focuses on the foundational challenge of modeling and controlling robot manipulators, particularly in the presence of unknown external forces. Lai’s key contributions center on developing simplified discrete-time robot models that are structurally less complex than traditional discretized differential equation models, making them more practical for real-world control applications. This work, detailed in papers such as “A New Discrete-Time Robot Model and Its Validity Test” (1997) and “Digital control of a robot manipulator disturbed by unknown external forces” (2002), addresses a critical gap between theoretical robotics and implementable control systems. Lai also explores the application of these principles to medical robotics, as seen in the 2017 paper on a “Rotation-Traction manipulation bionic training robot,” which combines visual servo and impedance control to train physicians in traditional Chinese medicine techniques for treating cervical spondylosis. While Lai’s citation counts are modest—with the most-cited paper garnering 6 citations—the work represents a sustained effort to bridge theory and practice in robot control, with applications ranging from industrial manipulation to medical training.