Papers
5
Total Citations
45
H-Index
4
About
Fuhan Yan is a robotics researcher whose work focuses on solving critical coordination problems in multi-robot systems, particularly in task allocation and foraging under hazardous conditions. His major contributions lie in developing intelligent algorithms that enable robot teams to make optimal decisions when faced with functional tasks—those that can be selectively completed—and hidden workloads. Yan introduced a hyper-heuristic approach to multi-robot task allocation, allowing systems to dynamically select the best strategy for assigning robots to tasks, a breakthrough that has garnered 28 citations for his 2023 paper. He also pioneered risk-aware foraging strategies for adversarial environments, such as earthquake rescue or battlefield scenarios, where robots must navigate dangers like obstacles or adversaries while collecting objects. His 2021 work on risk-aware collection strategies, with 5 citations, explicitly addresses the gap left by studies that assume safe settings. Yan’s research, spanning five papers with growing impact, advances the practical deployment of multi-robot systems in real-world, unpredictable settings, making him a notable figure in the field of autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 3Multi-robot Task Allocation in the Environment with Functional Tasks4 citations · 2022
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