Papers
2
Total Citations
16
H-Index
2
About
Ya-Jun Pan is a researcher whose work spans the fields of multi-agent systems, formation control, and robust control theory for robotic systems. With contributions ranging from foundational sliding mode control techniques to cutting-edge coordination algorithms for heterogeneous autonomous agents, Pan has established a distinctive research profile bridging classical control theory and modern multi-robot systems. Among Pan's notable contributions is a pioneering study on continuously varying formation control for heterogeneous multi-agent systems, which introduced a novel artificial potential field algorithm enabling dynamic collision and obstacle avoidance — a paper that has already garnered 11 citations since its 2024 publication, signaling strong early community interest. Earlier work from 2001 demonstrated Pan's foundational expertise in robust control, proposing a gain-shaped sliding mode control scheme that cleverly employs filtering techniques to automate switching gain adjustment in multi-link robotic manipulators, improving tracking performance significantly. Pan's research trajectory reflects a sustained commitment to solving practical challenges in autonomous systems — from precise manipulator control to scalable coordination of heterogeneous agent teams. Students and researchers working in robotics, autonomous vehicles, or distributed control systems will find Pan's contributions both technically rigorous and highly relevant to contemporary engineering challenges.
Research Focus
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Top Papers
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