Gaopan Shen

Papers

Total Citations

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About

Gaopan Shen is a researcher in swarm robotics and autonomous mobile systems, with a focus on shape formation, distributed self-assembly, and trajectory control. His most cited work, "A parallel shape formation method for swarm robotics" (2022, 16 citations), introduces a novel approach for enabling large-scale robotic swarms to autonomously reconfigure into desired shapes through local interactions. Building on this, his "Distributed Self-assembly Method Based on Motion-chain for Swarm Robotics" (2020, 3 citations) proposes a layered "peel-and-fill" strategy that solves the critical "who moves first" problem in collective reconfiguration, allowing robots to self-organize into functional structures without central control. Additionally, his work on "Trajectory Tracking Control of Wheeled Mobile Robots Using Backstepping" (2019, 4 citations) addresses precision control for individual mobile robots. Shen’s contributions advance the scalability and autonomy of swarm systems, with potential applications in search-and-rescue, environmental monitoring, and adaptive manufacturing. His research is particularly notable for bridging theoretical control methods with practical distributed algorithms, offering a foundation for future work in intelligent, self-reconfiguring robot collectives.