Papers
7
Total Citations
128
H-Index
3
About
Kui Qian is a leading researcher in robotics, specializing in autonomous navigation, path planning, and intelligent perception for mobile robots operating in hazardous and complex environments. His most impactful contribution is the development of a small teleoperated robot for nuclear radiation and chemical leak detection (2012, 66 citations), a pioneering work that directly addressed critical safety needs in emergency response. This robot, designed for real-world deployment, demonstrates his commitment to translating theory into practical, life-saving technology. Qian has further advanced the field with innovative optimization methods, such as the heuristic multi-directional rapidly-exploring tree for robot path planning (2020, 43 citations), significantly improving efficiency in obstacle-dense settings. His recent work on data-driven physical law learning models for chaotic robot dynamics prediction (2022) pushes the boundaries of machine learning in robotics, enabling more adaptive and robust control. Additionally, his research on autonomous developmental neural networks for indoor scene recognition and support vector machine-based traversability prediction showcases his versatility in integrating AI with robotic systems. With a portfolio spanning from miniaturized search robots to advanced perception algorithms, Qian’s work has garnered over 120 citations, establishing him as a key innovator in field and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Small Teleoperated Robot for Nuclear Radiation and Chemical Leak Detection66 citations · 2012
- 2
- 3
- 4
- 5
- 6
- 7Design and implementation of a mini-size search robot2 citations · 2011