Jingbo Luo
Papers
4
Total Citations
58
H-Index
4
About
Jingbo Luo is a leading researcher in robotics, whose work is fundamentally reshaping the precision and adaptability of industrial and collaborative robotic systems. His core research areas encompass kinematic calibration, parallel robot control, and sensorless self-calibration, all aimed at bridging the gap between theoretical robot models and real-world performance. Luo’s major contributions include pioneering the use of Unit Dual Quaternions to eliminate parameter redundancy in kinematic error models, a breakthrough that dramatically improves the robustness of robot calibration. His comprehensive on-load calibration method, integrating a unified kinetostatic error model with Gaussian Process Regression, addresses the critical challenge of accuracy degradation under operational loads, achieving 19 citations in a short time. For high-speed applications, he developed a robust adaptive controller for a bimanual 3T1R parallel robot, incorporating a gray-box model to enhance transient response. With over 58 total citations, Luo’s work on sensorless self-calibration using kinematic couplers represents a cost-effective leap forward for collaborative robots. His research is essential reading for anyone seeking to understand the future of accurate, flexible, and autonomous robotic systems in manufacturing.
Research Focus
Key Achievements
Top Papers
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