Jingwen Xiong

Papers

Total Citations

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About

Dr. Jingwen Xiong is a leading researcher in logistics automation and multi-robot systems, with a primary focus on intelligent path planning for warehouse robots. Her most-cited work, "Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO" (2023, 16 citations), addresses a critical challenge in modern logistics: the efficient and conflict-free navigation of multiple robots in dynamic warehouse environments. Dr. Xiong’s major contribution lies in developing a two-level hierarchical model that integrates conflict detection and resolution strategies with an enhanced Ant Colony Optimization (ACO) algorithm. This approach significantly improves route efficiency and reduces collision risks, offering a scalable solution for real-world multi-warehouse operations. Her work has been recognized for its practical impact on the logistics industry, where the rapid adoption of autonomous robots demands robust path planning. With her innovative conflict-solving strategies and algorithmic refinements, Dr. Xiong is shaping the future of smart warehousing, making her research essential reading for students and engineers in robotics and supply chain management.