Tuo Kang

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About

Tuo Kang is a researcher in robotics and nonlinear dynamics, with a focus on the complex interactions between mechanical flexibility and joint clearance in robotic systems. His most-cited work, "Dynamic Modeling and Analysis of Flexible-Joint Robots with Clearance" (2024), investigates the coupling effects of flexible joints and clearance on system dynamics, employing nonlinear spring-damping and Coulomb friction models to characterize these interactions. Through numerical analysis, Kang reveals how flexibility and clearance jointly influence robotic performance, offering critical insights for precision control and design of next-generation robots. While his citation count is currently modest at 5, this foundational paper addresses an underexplored area in robotics, bridging theoretical modeling with practical implications for industrial and collaborative robots. Kang’s work is particularly notable for its systematic approach to decoupling and analyzing these coupled nonlinear effects, providing a framework that can inform future studies on robot reliability and motion accuracy. His research contributes to the broader field of flexible multibody dynamics, with potential applications in manufacturing, healthcare robotics, and space exploration.