Papers
1
Total Citations
12
H-Index
1
About
See-On Park is a pioneering researcher in neuromorphic engineering and bio-inspired robotics, with a focus on developing artificial sensory systems that mimic biological neural processing. His most-cited work, "Experimental demonstration of third-order memristor-based artificial sensory nervous system for neuro-inspired robotics" (2025, 12 citations), represents a breakthrough in creating hardware that emulates the complex dynamics of biological sensory nerves. Park's major contribution lies in utilizing third-order memristors—advanced electronic components with multiple internal state variables—to construct an artificial sensory nervous system capable of processing tactile information with unprecedented biological realism. This system enables neuro-inspired robots to perceive and respond to external stimuli in ways that closely mirror animal behavior, addressing a critical challenge in the field. His research bridges materials science, circuit design, and robotics, offering a pathway toward more adaptive and efficient autonomous systems. Park's work has been recognized for its potential to revolutionize prosthetics, human-machine interfaces, and intelligent robotics, establishing him as a rising leader in neuromorphic computing and sensory neuroprosthetics.
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