Papers
13
Total Citations
84
H-Index
6
About
Sun Zengqi is a pioneering researcher in robotics and intelligent control, whose work spans adaptive control, neural networks, and autonomous systems. His major contributions lie in developing observer-based adaptive controllers for flexible manipulators using time-delay neuro-fuzzy networks, a key innovation for robots with only joint angle position measurements. He has also advanced robot soccer vision systems, improving camera calibration and localization for fast, robust environmental perception—critical for competitive platforms like RoboCup. His research on stable adaptive control for robot trajectory tracking in discrete time systems, and optimal motion planning through kinematic singularities, addresses fundamental challenges in robot arm control. With over 70 citations across his most-cited papers, Zengqi’s work has influenced both theoretical control methods and practical implementations in industrial and service robotics. Notably, his contributions to the TsinghuAeolus robotic soccer team and shared control teleoperation systems demonstrate his ability to translate complex algorithms into real-world applications, making him a respected figure in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1
- 2Accurate and stable vision in robot soccer10 citations · 2005
- 3
- 4
- 5Technical Solutions of TsinghuAeolus for Robotic Soccer6 citations · 2004
- 6
- 7Visual technologies in shared control mode of robot teleoperation system4 citations · 2003
- 8
- 9MODELS OF SPRAY GUN AND SIMULATION IN ROBOTICS SPRAY PAINTING4 citations · 2003
- 10An optimal algorithm of 3D path planning for mobile robots3 citations · 2009