Papers
9
Total Citations
204
H-Index
6
About
Yong Duan is a leading researcher in intelligent robotics, with a primary focus on reinforcement learning, multi-robot systems, and fuzzy logic control. His most impactful work addresses the challenging problem of coal and gangue sorting in industrial robotics, where he developed an image positioning and identification system that has garnered 69 citations, marking a significant contribution to automated mining technology. Duan’s foundational research in reinforcement learning for robot soccer, with 48 citations, established key frameworks for multi-agent coordination and decision-making under dynamic conditions. He has further advanced the field by integrating fuzzy inference systems with reinforcement learning for mobile robot navigation, achieving 23 citations for his innovative approach that enables robots to operate effectively in unknown and changing environments without requiring extensive expert knowledge. His work on multi-robot hunting strategies and cloud-based robotic systems demonstrates a sustained commitment to scalable, intelligent automation. Duan’s research is particularly notable for bridging theoretical reinforcement learning algorithms with practical, real-world applications, from industrial sorting to cooperative multi-robot tasks. With a career spanning over a decade, his contributions continue to influence both academic research and industrial robotics, making him a key figure in the development of adaptive, autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Application of reinforcement learning in robot soccer48 citations · 2007
- 3A multi-agent reinforcement learning approach to robot soccer32 citations · 2011
- 4Fuzzy reinforcement learning and its application in robot navigation23 citations · 2005
- 5Robot Navigation Based on Fuzzy RL Algorithm13 citations · 2008
- 6
- 7Multi-robot system based on cloud platform5 citations · 2016
- 8
- 9One fast RL algorithm and its application in mobile robot navigation3 citations · 2012