Shouwei Li

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About

Shouwei Li is a researcher in distributed robotics and autonomous multi-agent systems, with a primary focus on the fundamental problem of gathering—enabling mobile robots to converge at a common location without collisions. Li’s most influential work, "A Continuous Strategy for Collisionless Gathering" (2017, 7 citations), introduced a novel continuous-motion approach that guarantees safe rendezvous for autonomous robots, addressing a critical gap in discrete-time models. This was further refined in "The Impact of the Gabriel Subgraph of the Visibility Graph on the Gathering of Mobile Autonomous Robots" (2017, 5 citations), which demonstrated how exploiting graph-theoretic structures like the Gabriel subgraph can enhance efficiency and safety in robot coordination. Li’s contributions are particularly notable for bridging theoretical guarantees with practical collision avoidance, earning over 16 citations across key papers. By advancing continuous strategies and visibility-based constraints, Li has provided foundational insights for scalable, decentralized robot swarms—work that continues to influence researchers tackling real-world challenges in autonomous exploration, surveillance, and cooperative manipulation.