Papers
7
Total Citations
118
H-Index
4
About
Hung-Wen Chen is a multidisciplinary robotics researcher whose work spans human-robot interaction, agricultural automation, and rehabilitation engineering. His most influential contribution examines how older adults accept and engage with robotic technologies, drawing on socioemotional selectivity theory to identify design features that improve adoption among aging populations — a timely and socially significant study that has garnered 87 citations and remains a key reference in assistive robotics research. Beyond social robotics, Chen has made notable strides in precision agriculture, developing deep learning-based navigation systems that enable autonomous farming robots to follow drip irrigation tapes, detect crop rows, and perform selective spraying even under challenging field conditions. This body of work reflects a sophisticated integration of computer vision, machine learning, and control systems such as PID and fuzzy logic controllers, positioning him as a practical innovator in smart farming technology. Chen has also contributed to rehabilitation robotics, notably through the NTUH-II exoskeleton, which applies force-sensing and active control to support shoulder rehabilitation for patients with neurological and orthopedic impairments. Collectively, his research portfolio demonstrates a consistent commitment to deploying intelligent robotic systems where they can meaningfully improve human lives — whether in care settings, clinical environments, or the agricultural field.
Research Focus
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Top Papers
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