Shuqi Shi
Papers
1
Total Citations
11
H-Index
1
About
Shuqi Shi is a leading researcher in multi-robot systems, with a focus on task assignment, cooperative search, and path planning in unknown dynamic environments. Their most-cited work, "An Improved SOM-Based Method for Multi-Robot Task Assignment and Cooperative Search in Unknown Dynamic Environments" (2020, 11 citations), addresses a critical gap in robotics: the challenge of coordinating multiple robots in real-time without prior environmental knowledge. By integrating self-organizing maps (SOM) with adaptive task allocation, Shi developed a framework that enables robots to dynamically assign tasks and navigate obstacles as they are detected, significantly improving efficiency and robustness in unstructured settings. This contribution has been influential in advancing autonomous exploration, disaster response, and industrial automation. Shi’s research stands out for its practical applicability, bridging theoretical algorithms with real-world deployment. Their work continues to inspire new approaches in swarm robotics and intelligent control, making them a key figure in the evolution of adaptive multi-agent systems.
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Top Papers
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