Papers
1
Total Citations
6
H-Index
1
About
Hu Han is a researcher focused on advancing robotic assembly and intelligent control systems, with a particular emphasis on improving the efficiency and precision of industrial automation. His most notable contribution lies in the development of a variable admittance control method for robotic peg-in-hole assembly, a fundamental yet challenging task in manufacturing. By addressing the complex problem of identifying contact states between a shaft and a hole, Han’s work enhances the adaptability and success rate of robotic assembly, reducing reliance on rigid programming and enabling more flexible automation. His 2025 paper on this topic has already garnered 6 citations, reflecting its emerging impact in the field of robotics. Han’s research bridges the gap between theoretical control strategies and practical industrial applications, offering solutions that improve both speed and accuracy in assembly tasks. His work is particularly valuable for students and researchers interested in robotic manipulation, force control, and human-robot collaboration, as it provides a robust framework for tackling real-world assembly challenges.
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