About

Liankui Qiu is a robotics and autonomous systems researcher whose work spans computer vision, sensor technologies, and intelligent control systems. With contributions dating back to the mid-2000s, Qiu has established expertise at the intersection of machine perception and robotic autonomy. His most influential work, a real-time stereo vision-based pose and motion estimation system for unmanned helicopter landing on moving platforms such as ship decks, has garnered 25 citations and remains a notable contribution to autonomous aerial vehicle navigation. Complementing this, his research into neural network-based nonlinear decoupling for robot wrist force sensors — cited 17 times — addressed longstanding challenges in measurement precision for robotic manipulation. Qiu has also contributed to multi-camera visual servoing systems and explored the application of support vector machines in intelligent robot information acquisition. His more recent work on adaptive model predictive control for Mecanum wheel mobile robots demonstrates a continued engagement with evolving challenges in omnidirectional robot trajectory tracking. Collectively, Qiu's body of research reflects a sustained commitment to advancing intelligent sensing, perception, and control frameworks that underpin modern autonomous robotic systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
54
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing
25 citations · 2006
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Science and Technology of China, Institute of Intelligent Machines, Chinese Academy of Sciences, Henan University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago