Papers
1
Total Citations
7
H-Index
1
About
Andong Han is a researcher focused on advancing intelligent robotics and automation systems, with particular expertise in multi-robot coordination and warehouse logistics. His most cited work, "A Multi-robot Task Allocation and Path Planning Method for Warehouse System" (2021, 7 citations), addresses critical inefficiencies in traditional warehouse operations by integrating task allocation with congestion-aware path planning. Han’s key contribution lies in designing a market-based allocation mechanism that accounts for traffic congestion as a cost factor, enabling robots to dynamically adjust routes and tasks for optimal throughput. This approach improves both the scalability and real-time responsiveness of multi-robot systems, directly impacting the growing field of automated warehousing. His research bridges theoretical optimization with practical deployment challenges, offering solutions that reduce operational delays and energy waste. Han’s work is particularly relevant for students and engineers exploring swarm robotics, logistics automation, and intelligent manufacturing, demonstrating how algorithmic design can transform real-world supply chain efficiency.
Research Focus
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Top Papers
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