Max Robotics — Global Service Robot Directory + US Certification

About

Chun-Hsien Chen is a multidisciplinary researcher whose work spans human-robot interaction, intelligent design systems, and engineering education, with a particular focus on bridging computational methods and human-centered design. His most influential contribution — a machine learning-based iterative design framework for predicting user satisfaction in smart product-service systems — has garnered 68 citations since 2022, reflecting the growing urgency of integrating AI into design workflows. Chen has been a pioneering voice in applying physiological measurement tools, including EEG and eye-tracking technologies, to objectively assess human preferences in humanoid robot appearance design — work that offers designers empirically grounded guidance in a field often driven by intuition. His research trajectory reveals a consistent commitment to making human perception measurable and actionable, from early computer vision work on robot localization in the 1990s to recent autoencoder-driven analytics for design evaluation. Beyond technical research, Chen has contributed meaningfully to engineering pedagogy, advocating for design thinking integration in transdisciplinary curricula to prepare students for an AI- and robotics-driven world. His body of work collectively advances the convergence of cognitive science, robotics, and intelligent systems in service of more human-responsive design.