Papers
1
Total Citations
4
H-Index
1
About
Jingyi Gao is a researcher specializing in industrial robotics, with a focus on kinematic modeling, parameter identification, and motion compensation. Their most cited work, "Kinematic Parameters Identification and Compensation of an Industrial Robot" (2019), addresses a critical challenge in precision manufacturing: the systematic error in robot positioning caused by kinematic inaccuracies. Gao’s contribution lies in developing a method to identify these parameters through calibration and then compensating for them to improve absolute accuracy—a key requirement for tasks like machining, assembly, and inspection. Although the paper has garnered 4 citations, it represents a foundational step in a niche area where each citation reflects targeted interest from peers working on robot calibration and control. Gao’s research bridges theoretical kinematics and practical industrial applications, offering engineers a pathway to enhance robot performance without hardware upgrades. Their work is particularly relevant for collaborative and high-precision robotics, where even small errors can compromise quality. As the field advances toward autonomous and adaptive manufacturing, Gao’s insights into parameter identification remain a valuable reference for researchers seeking to close the gap between simulation and real-world robot behavior.
Research Focus
Key Achievements
Top Papers
- 1