Haibin Duan
Papers
18
Total Citations
1,145
H-Index
11
About
Haibin Duan is a leading figure in bio-inspired swarm intelligence and autonomous robotics, best known for pioneering the pigeon-inspired optimization (PIO) algorithm. His work draws direct inspiration from animal collective behaviors—such as pigeon homing, bee foraging, and wolf pack hunting—to solve complex engineering challenges in unmanned systems. Duan’s most cited paper, "Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning" (2014), has accumulated 593 citations and introduced a novel metaheuristic that models pigeon navigation using map and compass operators, later extended to automatic parameter tuning for mobile robot control. His foundational research on artificial bee colony optimization for low-altitude aircraft target recognition (126 citations) and his comprehensive survey on animal collective behaviors for swarm robotic cooperation (100 citations) demonstrate his sustained impact. Duan has also advanced heterogeneous unmanned air/ground vehicle coordination and bio-inspired hardware design. With over 1,100 total citations across his top works, his contributions bridge theoretical swarm intelligence with practical robotics, offering students and researchers a rich toolkit for autonomous navigation, cooperative control, and adaptive optimization in dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 3From animal collective behaviors to swarm robotic cooperation100 citations · 2023
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- 6Air robot path planning based on Intelligent Water Drops optimization52 citations · 2008
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- 8Ant colony optimization-based bio-inspired hardware: survey and prospect16 citations · 2010
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