Yaonan Li
Papers
6
Total Citations
58
H-Index
4
About
Yaonan Li is a robotics researcher whose work bridges the critical gap between perception and manipulation in industrial automation. His primary research areas include robotic grinding and polishing, macro–mini manipulator systems, and vision-based control for unstructured environments. Li’s most significant contribution is the development of a sensor-based force decouple controller for macro–mini manipulators, a paper that has garnered 25 citations and addresses the fundamental challenge of achieving both high speed and precision in robotic systems. He also pioneered an automatic programming method for robotic grinding using real-time 3D measurement (17 citations), which eliminates the need for manual teaching of tool paths on unknown workpieces—a major bottleneck in industrial applications. Li further advanced coordinated motion planning with a sampling-based motion assignment strategy that optimizes multiple performance criteria simultaneously. His recent work on attention-based grasp detection (2024) demonstrates his continued push toward robust manipulation in cluttered, unstructured settings. With additional contributions in 3D eye-to-hand calibration for large-scale scenes and automated visual inspection of metallic parts, Li has established himself as a practical innovator, directly addressing real-world manufacturing challenges through elegant control and perception solutions.
Research Focus
Key Achievements
Top Papers
- 1Sensor-based force decouple controller design of macro–mini manipulator25 citations · 2022
- 2Automatic Programming for Robotic Grinding Using Real Time 3D Measurement17 citations · 2017
- 3
- 4
- 5Automated Visual Inspection of Metallic Parts4 citations · 2017
- 6