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About

Zhangchao Pan is a robotics researcher specializing in autonomous navigation, multi-robot systems, and mobile robot motion planning. His work bridges theoretical algorithmic innovation with practical robot deployment, contributing meaningful advances to the field of autonomous robotic systems. Pan's most recognized contribution is CURE (2023, 48 citations), a hierarchical multi-robot exploration framework that leverages dynamic Voronoi diagrams and centroids of unknown regions to coordinate autonomous exploration — a notably elegant approach that outperforms existing methods in both efficiency and scalability. Complementing this, his development of MRPB 1.0 (2021, 32 citations) established a unified benchmark for evaluating mobile robot local planning approaches, filling a critical gap in standardized assessment that the broader robotics community has widely adopted. His research further extends into dynamic environments through D²WA, an adaptive extension of the classical Dynamic Window Approach, and into challenging terrain navigation with the TMPU framework for uneven, unstructured environments. More recently, his RH-ECBS framework advances multi-robot path planning by combining conflict-based search with regional heuristics to reduce deadlocks and improve coordination efficiency. With over 100 cumulative citations across his publications, Pan's work represents a coherent and growing body of research that meaningfully advances autonomous robot navigation and coordination.