Hongwei Yue

Guangdong University of Technology, Guangdong University of Education

Papers

Total Citations

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About

Hongwei Yue is a researcher whose work lies at the intersection of autonomous navigation and multi-robot coordination, with a particular focus on algorithms that operate under uncertainty and dynamic constraints. His most cited work, "ID* Lite" (2011, 8 citations), refines the classic D* Lite algorithm for robot path planning in unknown or changing environments, offering a more efficient approach to real-time navigation—a foundational contribution for field robotics. More recently, Yue has tackled the complex challenge of multi-robot task allocation under priority constraints and uncertainty (2022, 4 citations), developing learning-based methods that enable teams of robots to allocate tasks effectively even when priorities must be respected and outcomes are uncertain. This work is critical for applications like disaster response and warehouse automation, where coordination and reliability are paramount. Though his citation counts are modest, Yue’s contributions are technically significant, bridging the gap between theoretical algorithm design and practical deployment. His research is particularly valuable for students and engineers seeking to understand how to build robust, adaptive multi-robot systems that function in the real world.