Yurong Pan
Papers
1
Total Citations
3
H-Index
1
About
Yurong Pan is a researcher in robotics and control systems, with a focus on multi-agent coordination under uncertainty. Their most notable contribution is the development of a distributed model predictive control (MPC) framework for multiple mobile robots, specifically addressing the challenge of model uncertainty. In their 2021 paper, Pan introduced a data-driven robust distributed MPC (data-driven RDMPC) that combines robust control theory with data-driven strategies to enable stable formation control even when robot dynamics are imprecisely known. By replacing traditional quadratic performance objectives with robust performance minimization, this work provides a practical solution for real-world multi-robot systems operating in unpredictable environments. While still early in their career—with their most-cited paper accumulating 3 citations—Pan’s research represents a meaningful step toward bridging theoretical robustness guarantees with data-driven adaptability. Their work is particularly relevant for researchers in autonomous systems, cooperative robotics, and distributed control, offering a foundation for future advances in resilient multi-agent coordination.
Research Focus
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Top Papers
- 1