Papers
2
Total Citations
10
H-Index
2
About
Jingbo Xu is a leading researcher at the intersection of industrial robotics and assistive exoskeleton technology, with a focus on precision sensing and high-performance mechanical design. His work addresses critical challenges in robot-environment interaction, particularly through novel calibration methods for vision-guided systems. In his highly cited 2023 paper, Xu introduced a groundbreaking hand-eye calibration technique for industrial robots equipped with line laser vision sensors, enabling accurate transformation of sensor data into the robot coordinate frame—a fundamental step for automated manufacturing and quality inspection. This work has garnered 6 citations for its practical impact on industrial automation. More recently, Xu has advanced the field of wearable robotics with a comprehensive 2025 survey on high-torque-density joints for compliant lower-limb exoskeletons. This review, already cited 4 times, synthesizes design and control methodologies to achieve the dual goals of high output torque and lightweight construction, essential for effective hip and knee support in human assistance applications. Xu’s contributions bridge the gap between industrial precision and human-centric robotics, positioning him as a key innovator in both domains.
Research Focus
Key Achievements
Top Papers
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