Shuai Cao

Papers

Total Citations

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About

Shuai Cao is a leading researcher in swarm robotics, with a focus on distributed self-assembly and parallel coordination. His work addresses the challenge of enabling large groups of simple robots to autonomously form complex, functional structures without centralized control. His most-cited paper, "A distributed and parallel self-assembly approach for swarm robotics" (2019, 16 citations), introduces a scalable algorithm that allows robots to collaboratively build target shapes in a decentralized manner, significantly improving efficiency over sequential methods. Building on this, his 2020 paper "A distributed self-assembly approach for hollow shape in swarm robotics" (6 citations) extends the framework to construct hollow geometries, which are critical for applications like temporary shelters or cargo containers. Cao’s contributions have advanced the theoretical foundations of swarm intelligence, offering practical pathways for deploying robot swarms in search-and-rescue, construction, and environmental monitoring. His work is widely cited for its innovative blend of parallelism and robustness, inspiring further research into adaptive, fault-tolerant robotic systems.