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Dali Sun is a leading researcher in multi-robot systems, with a focus on motion planning, localization, and collision avoidance for large autonomous teams. Their work addresses critical challenges in industrial logistics and urban search and rescue, where robots must operate reliably in dynamic, unpredictable environments. Sun’s most cited paper, “Towards effective localization in dynamic environments” (32 citations), introduces a Bayesian approach inspired by SLAM algorithms to handle rapid environmental changes—a key advancement for real-world deployment. In “ARMO: Adaptive road map optimization for large robot teams” (30 citations), Sun presents an adaptive framework that optimizes motion planning for large fleets, significantly improving efficiency in warehouses and manufacturing plants. Their research on “Behavior-based multi-robot collision avoidance” (29 citations) offers a decoupled, decentralized path planning method that enables safe coordination among numerous robots without centralized control. Additionally, Sun’s work on “Multi-robot Range-Only SLAM by Active Sensor Nodes” (25 citations) advances autonomous exploration for search and rescue missions. With over 130 total citations, Dali Sun’s contributions are foundational to scalable, robust multi-robot systems, bridging theory and practical industrial applications.