Papers
21
Total Citations
364
H-Index
11
About
Xiangfei Li is a prominent robotics and manufacturing researcher whose work spans robotic motion planning, precision assembly, machining of complex surfaces, and intelligent control systems. His most cited contribution — a 2022 review of advanced machining techniques for complex surfaces (59 citations) — established him as a key voice in the field, while his 2023 work on Cartesian trajectory planning using triple NURBS curves (55 citations) has offered industrial robotics practitioners elegant new solutions for smooth, precise path generation. Li has made particularly notable strides in contour error control for six-dimensional robotic machining tasks (48 citations) and has pushed boundaries in the notoriously challenging domain of robotic peg-in-hole assembly, developing novel strategies capable of handling multiple peg-hole pairs simultaneously — a problem few researchers have tackled effectively. His contributions extend to visual servoing, impedance and force tracking control, and robotic grinding of aeroengine blades, reflecting a breadth of expertise that bridges theoretical rigor and industrial application. With over 300 cumulative citations across recent publications, Li's research is shaping the next generation of intelligent, adaptive robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1A review of recent advances in machining techniques of complex surfaces59 citations · 2022
- 2
- 3
- 4
- 5
- 6
- 7Logarithmic Observation of Feature Depth for Image-Based Visual Servoing21 citations · 2021
- 8
- 9
- 10