Zhouxiang Jiang

Beijing Information Science & Technology University

Papers

16

Total Citations

247

H-Index

9

About

Zhouxiang Jiang is a robotics researcher whose work centers on the calibration, accuracy enhancement, and control of industrial robots — particularly six-degree-of-freedom serial manipulators. His most significant contributions lie in developing novel calibration methodologies that address geometric and elasto-geometric errors, enabling industrial robots to achieve substantially higher positional accuracy in real-world applications. His 2021 paper introducing joint-dependent geometric error calibration across multiple identification spaces has garnered 56 citations, establishing it as a landmark contribution to the field, while his suite of calibration studies collectively demonstrate a sustained and systematic effort to solve longstanding precision challenges in robotic manufacturing. Jiang has advanced measurement techniques using tools such as laser displacement sensors, R-test instruments, and monocular vision systems, making calibration procedures more practical and accessible for industrial deployment. His research on stable calibration through equalized singular values and observability index optimization reflects a rigorous mathematical approach to improving calibration reliability. More recently, he has expanded into trajectory optimization using metaheuristic algorithms and force-controlled assembly tasks, including peg-in-hole operations with variable admittance control. With over 230 cumulative citations, Jiang's body of work represents a comprehensive and highly influential contribution to precision robotics engineering.

Research Focus

Key Achievements

9
H-Index
16
Papers
247
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A new calibration method for joint-dependent geometric errors of industrial robot based on multiple identification spaces
56 citations · 2021
📈 Most Prolific Year: 2024 (5 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Beijing Information Science & Technology University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago