Yen–Shuo Chen
Papers
3
Total Citations
52
H-Index
3
About
Yen-Shuo Chen is a robotics and intelligent control researcher whose work focuses on multi-robot systems, distributed control architectures, and adaptive neural network methodologies. His research sits at the intersection of swarm robotics, fuzzy logic, and wavelet neural networks, with a particular emphasis on developing robust control strategies for omnidirectional mobile robot platforms operating under real-world uncertainties. Chen's most significant contributions center on consensus-based formation control and cooperative transportation for networked multi-robot systems. His 2016 paper on distributed consensus formation control with collision and obstacle avoidance — his most cited work with 34 citations — demonstrated how Fuzzy Wavelet Neural Networks (FWNN) can effectively handle system uncertainties while enabling coordinated group behavior. Complementary work explored decentralized cooperative transportation strategies for Mecanum-wheeled robots, allowing multiple agents to collaboratively maneuver large payloads while avoiding obstacles. His research further extended these frameworks to heterogeneous robot teams using recurrent fuzzy wavelet neural networks, broadening applicability across different omnidirectional robot configurations. Collectively accumulating over 50 citations, Chen's body of work has meaningfully advanced practical solutions for autonomous multi-robot coordination, offering valuable frameworks for researchers tackling challenges in intelligent robotics, adaptive control, and human-free collaborative automation.
Research Focus
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