Hung-Shen Liu

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Hung-Shen Liu is a robotics researcher whose work focuses on human-robot interaction and adaptive robot control, with an emphasis on making service robots more accessible to non-expert users. His key contributions lie in developing intuitive methods for robot trajectory modification and programming by demonstration (PbD). In his most-cited works, Liu introduced a shared-control framework that allows users to physically intervene and modify a humanoid robot’s learned trajectory through force interaction—enabling robots to adapt to changing environments without requiring reprogramming skills. He also pioneered a cloud-based learning architecture for home service robots, allowing trajectory customization via remote human-robot force feedback. Though his citation counts (3 per paper) reflect a developing impact, his research addresses a critical gap in human-centered robotics: bridging the gap between complex programming and everyday usability. Liu’s work is particularly notable for its practical vision of deploying adaptable robots in domestic settings, where users may lack technical expertise. His contributions are foundational for researchers exploring intuitive robot teaching methods and cloud-integrated learning systems, positioning him as a promising voice in the future of accessible service robotics.