Dingyuan Shi

Papers

Total Citations

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About

Dingyuan Shi is a researcher advancing the frontier of multi-robot systems and logistics automation, with a core focus on intelligent task and route planning for large-scale robotized warehouses. His work directly addresses the computational challenges of e-commerce distribution, where thousands of robots must coordinate to deliver items efficiently. Shi’s major contribution is the development of scalable algorithms that make collision-aware route planning practical for real-world deployment. His 2022 paper, "Adaptive Task Planning for Large-Scale Robotized Warehouses," has garnered 13 citations for its novel approach to automating item distribution by planning optimal robot paths to deliver racks to pickers. Building on this, his 2023 work, "Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework," introduces a framework that significantly reduces computational overhead while ensuring collision-free navigation, earning 3 citations. By tackling the central algorithmic problem of shortest, conflict-free routes, Shi’s research directly impacts operational efficiency in modern logistics. His work is essential reading for students and engineers interested in the intersection of robotics, optimization, and industrial automation, offering practical solutions for the next generation of smart warehouses.