Deng-Quan Hsu

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Dr. Deng-Quan Hsu is a leading researcher at the intersection of assistive robotics and human-robot interaction, with a primary focus on developing intelligent systems for elderly care. His most influential work addresses the critical global challenge of aging populations and caregiver shortages by advancing humanized care robots capable of responding to individual behaviors. In his highly cited 2022 study, "Image and Speech Recognition Technology in the Development of an Elderly Care Robot: Practical Issues Review and Improvement Strategies," Dr. Hsu systematically analyzed the practical limitations of current care robots and proposed targeted improvements in perception and communication. This work has garnered 9 citations and serves as a foundational reference for researchers seeking to bridge the gap between technical capability and real-world caregiving needs. Dr. Hsu’s contributions are particularly notable for their emphasis on practical, deployable solutions rather than purely theoretical advances, making his research directly relevant to engineers and clinicians alike. By identifying key bottlenecks in image and speech recognition for elderly interaction, he has helped chart a clearer path toward robots that can genuinely understand and assist aging individuals, positioning him as a vital voice in the future of gerontechnology.