Ouyang Minghua

Hunan University

Papers

2

Total Citations

5

H-Index

2

About

Dr. Ouyang Minghua’s research focuses on intelligent robotics, with particular emphasis on visual servo control and autonomous navigation in constrained environments. His work addresses the challenges of robotic manipulation in hazardous or confined spaces, such as ventilation ducts and industrial settings. Notably, his 2012 paper on a fuzzy cerebellar model articulation controller (CMAC) for visual servo systems introduced a novel approach to robot guidance, enhancing adaptability and precision in dynamic tasks. This work has garnered 3 citations, reflecting its niche but valuable contribution to control theory. In another key study, Dr. Ouyang developed an artificial potential field method for joint obstacle avoidance in duct cleaning robots—mobile manipulators designed to operate in abominable, spatially disordered environments. This research, with 2 citations, tackles the critical coordination between chassis movement and sweeping mechanisms for 3D non-repetitive cleaning trajectories. Dr. Ouyang’s contributions are particularly significant for advancing robotic systems in challenging real-world applications, bridging theoretical control methods with practical deployment in hazardous conditions.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A fuzzy cerebellar model articulation controller based visual servo system for robot
3 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Hunan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago