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About

Chen Yao is a robotics and control systems researcher whose work spans mobile robot locomotion, adaptive control, and intelligent wheelchair technologies. His most influential contribution, "Model Predictive Tracking Control of Nonholonomic Mobile Robots With Coupled Input Constraints and Unknown Dynamics" (2018), has garnered 123 citations and represents a significant advance in autonomous robot navigation. By elegantly combining tube-based model predictive control with adaptive control techniques, the work addresses the dual challenges of kinematic and dynamic constraints in trajectory tracking — a problem of considerable practical importance in real-world robotics deployment. Beyond high-performance mobile robots, Chen Yao has demonstrated a sustained commitment to assistive robotics, contributing multiple studies on the WT wheelchair robot's stair-climbing capabilities and active tension control strategies for holonomic and nonholonomic systems. His earlier work on the Jaguar compound mobile robot (2008) highlights a career-long interest in versatile, modular robotic platforms that bridge wheel, leg, and track locomotion paradigms. Taken together, his research portfolio reflects a researcher equally invested in theoretical rigor and socially meaningful applications, making his work valuable reading for students working at the intersection of control theory, mobile robotics, and assistive technology.