Quan-Ke Pan
Papers
4
Total Citations
127
H-Index
3
About
Quan-Ke Pan is a leading researcher in intelligent optimization and multi-robot coordination, with a focus on transforming agricultural and warehouse automation. His work centers on developing advanced evolutionary and teaching-learning-based algorithms to solve complex task allocation and scheduling problems. In smart farming, Pan has pioneered methods for coordinating weeding robots and spraying drones, achieving multi-objective optimization that balances efficiency, energy use, and operational constraints. His 2024 paper on a collaborative evolutionary algorithm for multi-robot task allocation in smart farms has already garnered 72 citations, highlighting its immediate impact. Pan’s contributions extend to warehouse logistics, where he proposed a hybrid Genetic Algorithm approach for the Robotic Mobile Fulfillment System (RMFS), addressing the critical challenge of simultaneous task allocation and path planning. With multiple highly cited works published in 2023–2024, Pan is recognized for bridging theoretical optimization with practical, real-world applications—enabling scalable, autonomous systems that improve productivity in both agriculture and supply chain operations.
Research Focus
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Top Papers
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