Hsiao-Lang Wu
Papers
5
Total Citations
71
H-Index
5
About
Hsiao-Lang Wu is a robotics and control systems researcher whose work centers on intelligent control, multi-robot coordination, and adaptive neural network methodologies. With a focus on Mecanum-wheeled omnidirectional robots (MWORs), Wu has made significant contributions to solving the complex challenges of formation control, cooperative transportation, and obstacle avoidance in uncertain, networked robotic environments. His most influential work, "Distributed Consensus Formation Control with Collision and Obstacle Avoidance for Uncertain Networked Omnidirectional Multi-robot Systems Using Fuzzy Wavelet Neural Networks" (2016), has garnered 34 citations and exemplifies his signature approach of combining fuzzy wavelet neural networks (FWNNs) with consensus algorithms to handle system uncertainties robustly. Wu's research progressively advanced from foundational adaptive motion control designs (2010) to sophisticated decentralized cooperative transportation strategies and nonsingular terminal sliding-mode controllers incorporating output recurrent neural architectures. His consistent development of intelligent, decentralized control frameworks for heterogeneous robot teams addresses real-world deployment challenges, making his work particularly valuable to researchers in autonomous systems, swarm robotics, and human-robot collaboration. Wu's cumulative citation impact reflects growing recognition of his technically rigorous and practically relevant contributions to the field.
Research Focus
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