Papers

3

Total Citations

38

H-Index

3

About

Dr. Jizhi Yang is a leading researcher in precision robotics and intelligent manufacturing, with a focus on enhancing the accuracy and control of industrial and mobile machining robots. Her work addresses critical challenges in large, complex component fabrication, where positioning precision directly impacts final product quality. Dr. Yang’s major contributions include developing a simple, rapid calibration methodology for industrial robots using geometric constraints and a two-step error approach, which has been cited 18 times for its practical value in online compensation and high-precision machining. She also pioneered a numerical control (NC)-driven method for mobile milling robots, integrating 840Dsl NC systems with bus communication architectures to overcome controller openness and data integration limitations. This work, cited 15 times, introduced joint grating closed-loop control and spatial grid compensation to correct for robot self-weight and external loads. Additionally, her research on numerical control systems for unstructured machining environments (5 citations) has improved machining adaptability and system expandability. Dr. Yang’s innovative approaches to calibration, error compensation, and NC-driven control are pivotal for advancing autonomous, high-accuracy robotic manufacturing in unstructured settings.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A simple and rapid calibration methodology for industrial robot based on geometric constraint and two-step error
18 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: China Academy of Space Technology, Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago