Chan Hsu

Papers

Total Citations

H-Index

About

Chan Hsu has made significant contributions to the field of Human-Robot Interaction (HRI) by leveraging machine learning to map and analyze research trends. In their highly cited 2022 study, Hsu developed a novel ML-based topic modeling approach to systematically examine a vast corpus of HRI literature from 2010 to 2021. This work identified five dominant research factors, including the critical topic of handover—a key challenge in physical human-robot collaboration. By applying computational methods to meta-scientific analysis, Hsu provided the HRI community with a data-driven roadmap of emerging priorities and methodological shifts. Their approach demonstrates how AI can be used not just in robotics, but to understand the evolution of robotics research itself. With 7 citations already, this paper has quickly become a reference point for researchers seeking to contextualize their work within broader HRI trends. Hsu’s work exemplifies the growing intersection of bibliometrics and machine learning, offering a powerful tool for identifying where the field has been and where it is heading.