Papers
2
Total Citations
12
H-Index
2
About
Rui Yan is an emerging researcher working at the intersection of multi-robot systems, autonomous systems, and agricultural technology. Their work spans two compelling frontiers: the coordination and optimization of robotic teams, and the development of intelligent sensing systems for controlled environments. Yan's most notable contribution to date is the development of a distributed auction algorithm for task assignment with robot coalitions, a significant advancement over classical single-robot assignment approaches. This work tackles real-world complexities such as multiplayer reach-avoid games, where coordinated group execution is essential, offering practical solutions for deploying collaborative robotic teams in dynamic environments. The paper has garnered 8 citations since its 2024 publication, reflecting rapid uptake within the robotics and multi-agent systems community. Their 2025 work introduces a compact autonomous inspection system for greenhouse environmental monitoring and three-dimensional visualization, demonstrating a versatile research profile that bridges theoretical robotics with applied agricultural innovation. This contribution addresses growing demands for precision agriculture technologies capable of autonomous, high-fidelity environmental sensing. Though early in their career, Yan's interdisciplinary approach — connecting autonomous coordination algorithms with real-world deployment scenarios — positions them as a promising voice in robotics research with clear practical impact.
Research Focus
Key Achievements
Top Papers
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