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About

Chih-Chen Yih is a robotics and control systems researcher whose work spans multisensor fusion, autonomous mobile robots, motion planning, and adaptive manipulator control. His most influential contribution is a landmark 2002 survey on multisensor fusion and integration, which has garnered over 613 citations and remains a foundational reference in the field, synthesizing interdisciplinary methods from control theory, signal processing, artificial intelligence, and statistics to harness redundant and complementary sensor information. That same year, he advanced Internet-based teleoperation, proposing architectures for intelligent autonomous mobile robot control over networked environments — work that anticipated today's cloud robotics paradigm. His research on near-optimal motion planning for nonholonomic systems introduced quasi-Newton optimization techniques to handle real-world state and input constraints. Over subsequent decades, Yih tackled increasingly sophisticated control challenges, including observer-based velocity estimation for robot manipulators, adaptive task-space control under kinematic and dynamic uncertainties, sliding mode control for passive-jointed robots, and amplifier-aware adaptive manipulator control. Collectively, his contributions reflect a sustained commitment to bridging theoretical control frameworks with practical robotic implementation, making his work valuable reading for students and researchers working at the intersection of robotics, control engineering, and intelligent systems.