Min Han

Papers

Total Citations

H-Index

About

Min Han is an emerging researcher in the field of robotics and autonomous systems, with a particular focus on mobile manipulation and computer vision. His work centers on the development of intelligent robotic systems capable of performing complex tasks in indoor environments, integrating cutting-edge technologies in target detection, localization, and mechanical control. Han's most notable contribution to date is his 2021 paper on a vision-based mobile grabbing robot, which demonstrates a sophisticated integration of wheeled locomotion with six-axis mechanical arm control. This work addresses fundamental challenges in robotic manipulation, combining multi-sensor perception with quadric fitting algorithms to achieve reliable target recognition and localization — a critical step forward in making autonomous robots more practical for real-world applications. While his citation count is still growing, with 2 citations reflecting the recency of his work, Han's research tackles problems of significant relevance to the robotics community, particularly as demand for intelligent service robots continues to accelerate. His multidisciplinary approach — bridging computer vision, mechanical engineering, and autonomous navigation — positions him as a promising contributor to the next generation of adaptive robotic systems.