Papers
2
Total Citations
18
H-Index
2
About
Haiwei Yang is a robotics researcher whose work bridges industrial automation and human-robot interaction. His most cited paper, "Intelligent Robot Arm: Vision-Based Dynamic Measurement System for Industrial Applications" (2019, 16 citations), showcases his expertise in integrating computer vision with robotic manipulation for real-time, precision-driven tasks in manufacturing environments. This contribution highlights his focus on enhancing robot autonomy and accuracy through sensor fusion. Yang also made a notable contribution to safe human-robot collaboration with his 2014 paper on a novel variable stiffness actuator. This actuator, featuring automatic rigidity/compliance switching, uses two motors to allow robots to dynamically adjust their stiffness—critical for ensuring safety during physical human-robot interaction and improving adaptability in complex, unstructured settings. While his citation counts reflect an emerging career, Yang’s work is significant for addressing the dual challenges of industrial efficiency and interactive safety. His research is particularly relevant for students and engineers interested in soft robotics, variable impedance control, and vision-guided automation, laying groundwork for more intuitive and secure robotic systems in both factory and domestic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2