Papers
24
Total Citations
295
H-Index
7
About
Huaqing Min is a robotics researcher whose work spans developmental robotics, motion planning, and autonomous systems. His most influential contribution is a comprehensive survey on affordance research in developmental robotics (2016), which has garnered over 100 citations and helped establish affordance-based perception as a key paradigm for understanding robot-environment interactions beyond simple object identification. His early work on obstacle avoidance using particle swarm optimization (PSO) in dynamic environments (2005, 63 citations) demonstrated innovative applications of swarm intelligence to mobile robot navigation, a theme he continued refining through multiple studies on distributed multi-robot coordination and adaptive PSO algorithms. Min's research portfolio reflects a broad curiosity about intelligent robot behavior, encompassing humanoid bipedal walking on slopes and rough terrain via reinforcement learning, fuzzy cognitive map-based decision-making for soccer robots, and robust dead reckoning using particle filters. More recently, he has explored assistive robotics, developing an edge computing platform for a guide-dog robot serving visually impaired users, showcasing a commitment to socially impactful applications. Spanning over a decade of contributions, Min's cumulative work positions him as a versatile contributor to mobile robotics, swarm intelligence, and human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Affordance Research in Developmental Robotics: A Survey104 citations · 2016
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- 3Probability Fuzzy Cognitive Map for Decision-Making in Soccer Robotics17 citations · 2006
- 4An Edge Computing Platform of Guide-dog Robot for Visually Impaired14 citations · 2019
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- 7Multi-objective optimization for a humanoid robot walking on slopes8 citations · 2011
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- 10Biped walking on rough terfrain using reinforcement learning5 citations · 2015