Feng‐Chun Tai
Papers
19
Total Citations
168
H-Index
7
About
Feng-Chun Tai is a robotics and control systems researcher whose work centers on multi-robot coordination, omnidirectional mobile robotics, and intelligent control. His research has made significant strides in addressing the practical challenges of deploying autonomous robot teams in uncertain, real-world environments. Tai's most influential contribution, "Distributed Consensus Formation Control with Collision and Obstacle Avoidance" (2016, 34 citations), established him as a leading voice in networked multi-robot formation control, combining fuzzy wavelet neural networks with consensus algorithms to handle system uncertainties. His foundational 2011 paper on Mecanum wheeled omnidirectional robot controllers (26 citations) demonstrated rigorous embedded implementation using feedback linearization and Lyapunov stability analysis, providing a cornerstone reference for omnidirectional robotics design. Across his body of work, Tai has consistently advanced decentralized cooperative strategies—including cooperative transportation, SLAM for air-ground systems, and cooperative localization—applying sophisticated techniques such as backstepping sliding-mode control, extended information filtering, and reinforcement learning. His more recent explorations into adaptive control for leg-wheeled robots navigating rough terrain reflect a broadening scope toward versatile autonomous platforms. Collectively, his publications demonstrate a coherent research vision: building robust, intelligent, and collaborative robotic systems capable of operating reliably under real-world uncertainty.
Research Focus
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