About

Longxiang Li is a specialist in advanced optical manufacturing, with a particular focus on magnetorheological finishing (MRF) and the integration of industrial robotics into precision polishing systems. His research addresses one of the field's most pressing challenges: harnessing the flexibility and cost-effectiveness of six-degrees-of-freedom (6-DOF) industrial robots while overcoming their inherent trajectory inaccuracies to achieve high-precision optical fabrication. Li's most cited work (23 citations) introduced a robot-based MRF system that measures and compensates for trajectory errors, significantly improving manufacturing accuracy for optical components. His broader body of work spans tool influence function modeling — including novel neural network approaches for predicting polishing behavior — laser tracker-based calibration, and multi-robot collaborative machining for large-aperture optics used in aerospace and deep-space exploration. An early contributor to robot-arm MRF systems, Li helped establish this paradigm as a viable, flexible alternative to traditional polishing machines. With a growing publication record accumulating nearly 50 citations, his contributions are shaping the next generation of intelligent, robot-driven optical manufacturing technologies.

Research Focus

Key Achievements

5
H-Index
7
Papers
49
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
High-precision magnetorheological finishing based on robot by measuring and compensating trajectory error
23 citations · 2022
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Chinese Academy of Sciences, Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Advanced Optical Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago