Qingsheng Luo
Papers
27
Total Citations
331
H-Index
9
About
Qingsheng Luo is a robotics researcher whose work spans robot kinematics, motion control, path planning, and sensor integration — areas that collectively address some of the most fundamental challenges in intelligent and autonomous robotic systems. His most cited contribution, "An Overview of Hand-Eye Calibration" (2021, 106 citations), has established itself as a key reference in the field, reflecting his deep expertise in robot perception and spatial coordination. His follow-up study on the AXB = YCZD hand-eye calibration problem further demonstrates his commitment to advancing calibration methodologies for specialized applications such as explosive ordnance disposal robots. Luo's research on model predictive control with integral compensation for robot manipulators and his closed-form approaches to inverse kinematics reveal a strong foundation in both theoretical and applied robotics. His work on probabilistic roadmap-based path planning addresses real-world navigation challenges in complex environments, while earlier contributions on multi-sensor information fusion (2008) highlight a career-long engagement with intelligent robot control. Across trajectory tracking, multi-axis synchronization, and hexapod kinematics, Luo has produced a consistently practical and mathematically rigorous body of work that continues to inform researchers and engineers working at the cutting edge of robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1An overview of hand-eye calibration106 citations · 2021
- 2Survey on robot multi-sensor information fusion technology33 citations · 2008
- 3
- 4
- 5
- 6
- 7
- 8
- 9Hand-Eye Calibration of EOD Robot by Solving the AXB = YCZD Problem10 citations · 2021
- 10