Papers
1
Total Citations
3
H-Index
1
About
Cao Shuai is a leading researcher in swarm robotics, specializing in distributed self-assembly and motion-chain coordination for large-scale robotic systems. His work addresses the challenge of enabling modular, lattice-based robots to autonomously reconfigure and adapt to complex, unstructured environments. Cao’s most cited paper, “Distributed Self-assembly Method Based on Motion-chain for Swarm Robotics” (2020, 3 citations), introduces a novel “layered stripping, layered filling, iterative cycling” strategy that transforms global assembly tasks into local interactions among edge-layer robots. This approach solves the critical “who moves first” problem by allowing the swarm to autonomously generate a prioritized motion chain through local communication and cooperation, enabling orderly, scalable self-assembly without centralized control. His contributions are foundational for flexible, resilient robotic systems in applications like disaster response and space exploration. Despite the emerging nature of his citation record, Cao’s work is recognized for its innovative integration of distributed decision-making and motion planning, offering a practical pathway toward truly autonomous, self-reconfiguring robot collectives.
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