About

Ha Manh is a prominent researcher specializing in assistive robotics, smart home technologies, and human-robot interaction, with a particular focus on improving quality of life for elderly and disabled populations. His most celebrated contribution, "RiSH: A Robot-Integrated Smart Home for Elderly Care" (2017), has accumulated 178 citations and established a foundational framework for deploying intelligent robotic systems within domestic environments. Building on this work, Ha has made significant strides in social robotics for geriatric care, developing systems capable of conducting clinical screening interviews, cognitive orientation assessments, and medication management through conversational companion robots. His research uniquely bridges technical innovation with practical caregiving needs. He has pioneered sound-based human activity monitoring, auditory perception platforms, and privacy-sensitive situation detection for camera-equipped robots — addressing critical ethical concerns surrounding smart home surveillance. Additional contributions span emotion recognition using wearable ECG sensors, virtual-reality-based telepresence, and human-robot collaborative control systems. With over 430 cumulative citations across his body of work, Ha Manh's research has meaningfully advanced the field of assistive technology, offering scalable, compassionate solutions to the growing global challenge of aging populations living independently at home.

Research Focus

Key Achievements

11
H-Index
12
Papers
450
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
RiSH: A robot-integrated smart home for elderly care
178 citations · 2017
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Oklahoma State University, Colorado State University Pueblo, University of Louisville, Capital Normal University, Oklahoma State University System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago