Papers
1
Total Citations
3
H-Index
1
About
Xiu Qiu is a researcher in multi-robot systems, focusing on task allocation and cooperative control under realistic constraints. Their most notable contribution is the development of the consensus-based payload algorithm (CBPA), which addresses a critical gap in multi-robot task allocation: the degradation of robot capabilities due to payload consumption during complex missions. This work, published in 2024, has already garnered 3 citations, signaling early impact in the field. By modeling how robots' performance declines as they expend resources, Qiu’s research enables more robust and adaptive coordination for teams operating in dynamic environments—such as search-and-rescue or industrial automation. This pragmatic approach to swarm robotics ensures that systems remain effective even as individual agents weaken, a key step toward real-world deployment. Qiu’s work is essential reading for engineers and researchers tackling the challenges of long-duration, resource-constrained multi-robot operations.
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Top Papers
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