Lishuo Pan

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About

Lishuo Pan is a robotics researcher whose work focuses on scalable multi-robot coordination and real-time path planning in complex, cluttered environments. Their most notable contribution, "Hierarchical Large Scale Multirobot Path (Re)Planning" (2024, 2 citations), addresses the critical challenge of replanning paths for large robot teams under dynamic conditions. Pan’s key innovation lies in a hierarchical framework that divides the workspace into manageable cells, enabling a high-level planner based on multi-commodity flow to efficiently route robots while a low-level planner handles local navigation. This approach achieves real-time replanning, a significant leap for applications in warehouse automation, search-and-rescue, and autonomous fleets. By tackling the combinatorial complexity of large-scale systems, Pan’s work bridges the gap between theoretical optimization and practical deployment. Their research is particularly impactful for students and engineers seeking robust, scalable solutions to multi-agent coordination problems. With a focus on both algorithmic elegance and real-world feasibility, Pan is establishing a reputation for advancing the frontier of multirobot systems.