Papers
5
Total Citations
71
H-Index
3
About
Min Ho Park is a multidisciplinary researcher whose work spans robotics, neuromorphic computing, and biomedical engineering. His early contributions to human-machine interaction are exemplified by his 2005 paper on HMM-based gesture recognition for robot control, which has garnered 31 citations and remains a foundational reference in intuitive robotic command systems. Park has also made significant strides in advanced materials and neuromorphic hardware, with his 2024 work on oxide-based optoelectronic synaptic transistors attracting 27 citations — a remarkable achievement for a recently published study. This research pushes the boundaries of artificial vision systems by engineering devices capable of over 512 distinct conduction states, directly mimicking biological visual synapses. In robotics hardware, Park contributed to miniaturized actuation technology through his development of piezoelectric bender-driven small robots, demonstrating a hands-on engineering approach to locomotion systems. His work extends into industrial automation, including laser vision-based seam tracking for arc welding, and more recently into surgical robotics, evaluating outcomes of transaxillary robotic thyroidectomy. Together, Park's portfolio reflects a researcher driven by practical innovation across an impressively broad technological landscape.
Research Focus
Key Achievements
Top Papers
- 1HMM-Based Gesture Recognition for Robot Control31 citations · 2005
- 2
- 3Development of small robot using piezoelectric benders8 citations · 2019
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- 5