Yang-Guang Zhu

Beijing Advanced Sciences and Innovation Center, Beijing Institute of Technology

Papers

Total Citations

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About

Yang-Guang Zhu is a leading researcher in multi-robot coordination and motion planning, with a focus on solving complex, real-world cooperative tasks. His work centers on developing scalable algorithms that enable teams of robots to efficiently cover large areas and dynamically aggregate at multiple points. In his highly cited 2017 paper (31 citations), Zhu introduced the Cooperative Multi-Area Coverage (CMAC) framework, which allows multiple robots to jointly cover distinct zones for operations like garbage clearance, demining, or area scanning. His foundational 2016 study (21 citations) proposed the Multi-Point Dynamic Aggregation (MPDA) task model, systematically addressing how robots dispersed across different locations can converge to designated points in a coordinated manner. These contributions have significantly advanced the theoretical understanding of distributed multi-robot systems, providing practical solutions for autonomous exploration, environmental monitoring, and disaster response. Zhu’s work is widely recognized for bridging the gap between complex task modeling and real-time motion planning, making him a key figure in the field of cooperative robotics.