DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Hery | ko |
dc.contributor.author | Yu, Ji-Man | ko |
dc.contributor.author | Han, Joon-Kyu | ko |
dc.contributor.author | Choi, Yang-Kyu | ko |
dc.date.accessioned | 2023-11-13T09:00:23Z | - |
dc.date.available | 2023-11-13T09:00:23Z | - |
dc.date.created | 2023-10-11 | - |
dc.date.issued | 2023-11 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON NANOTECHNOLOGY, v.22, pp.706 - 712 | - |
dc.identifier.issn | 1536-125X | - |
dc.identifier.uri | http://hdl.handle.net/10203/314532 | - |
dc.description.abstract | Mutual interactions between humans and devices are being widely adopted, including wearable electromechanical devices known as robotic exoskeletons. Among various modules used to control the human-robot interactions, compliance control (CC) is needed to ensure human safety and avoid abnormal operations. Here we propose a novel CC system with co-integrated neuromorphic devices composed of a pre-synapse, an interneuron, and a post-synapse. These devices are the same homotypic MOSFET with a SONOS configuration, despite having different functions. For proof-of-concept, semi-empirical simulations were conducted with the aid of an LTspice simulator, by reflecting measured neuron and synapse characteristics from the fabricated tri-gate FinFETs. The extremely low-power consumption of 0.2 mW, which is 55-fold smaller than other conventional approaches, was achieved. A high response rate of up to 3 ms was attained as well. Moreover, by automatically adjusting output signal frequency and amplitude, the micro-sized neuromorphic CC system can avoid excess actuator motion in human-robot interactions. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Co-integrated Neuromorphic Devices for Bio-inspired Compliance Control | - |
dc.type | Article | - |
dc.identifier.wosid | 001090964100002 | - |
dc.identifier.scopusid | 2-s2.0-85174811691 | - |
dc.type.rims | ART | - |
dc.citation.volume | 22 | - |
dc.citation.beginningpage | 706 | - |
dc.citation.endingpage | 712 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON NANOTECHNOLOGY | - |
dc.identifier.doi | 10.1109/TNANO.2023.3323667 | - |
dc.contributor.localauthor | Choi, Yang-Kyu | - |
dc.contributor.nonIdAuthor | Shin, Hery | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Neurons | - |
dc.subject.keywordAuthor | Neuromorphics | - |
dc.subject.keywordAuthor | Synapses | - |
dc.subject.keywordAuthor | Logic gates | - |
dc.subject.keywordAuthor | Silicon | - |
dc.subject.keywordAuthor | Robot sensing systems | - |
dc.subject.keywordAuthor | Voltage measurement | - |
dc.subject.keywordAuthor | Compliance control | - |
dc.subject.keywordAuthor | human-robot interaction | - |
dc.subject.keywordAuthor | leaky-integrate-fire | - |
dc.subject.keywordAuthor | neuromorphic | - |
dc.subject.keywordAuthor | neuron | - |
dc.subject.keywordAuthor | synapse | - |
dc.subject.keywordAuthor | SONOS | - |
dc.subject.keywordPlus | NEURONAL OSCILLATIONS | - |
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