Papers
39
Total Citations
474
H-Index
13
About
Ya-Jun Pan is a leading researcher in multi-agent systems, networked control, and robotics, with a focus on enabling intelligent coordination and safe teleoperation. Her work bridges theoretical control design with real-world applications, particularly in ground vehicles, mobile robots, and rehabilitation exoskeletons. She has made major contributions to event-triggered and observer-based adaptive control for distributed networks, addressing critical challenges like limited communication bandwidth and unmeasurable states. Her 2022 paper on observer-based dynamic event-triggered control for networked systems has garnered 65 citations, while her 2022 work on event-triggered formation tracking for mobile robots has 49 citations. Pan also advanced iterative learning control under network constraints and consensus formation control for multi-robot systems. Notably, her 2020 review on control methods for upper-limb telerehabilitation with robotic exoskeletons (27 citations) highlights her impact on healthcare robotics, addressing pressing needs from aging populations and COVID-19. Her early work on gain-scheduled sliding mode control for robotic manipulators remains influential. With over 290 total citations across her top papers, Pan’s research continues to shape the future of autonomous and remotely operated systems.
Research Focus
Key Achievements
Top Papers
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- 8A VSS identification scheme for time-varying parameters22 citations · 2003
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