DC Field | Value | Language |
---|---|---|
dc.contributor.author | KIM, SE JIN | - |
dc.contributor.author | CHUNG, WAN KYUN | - |
dc.date.accessioned | 2019-08-07T05:30:41Z | - |
dc.date.available | 2019-08-07T05:30:41Z | - |
dc.date.created | 2019-07-05 | - |
dc.date.issued | 2019-06-25 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/99516 | - |
dc.description.abstract | Human-Robot Interaction (HRI) attracts attention from various fields. For successful HRI, robot has to respond appropriately with recognizing the human intention and force is a good index of it. However, force sensor is expensive and system becomes bulky with it. Therefore, force estimation is necessary to overcome these limitations. For estimation, deep learning approach is reasonable as it can extract highly complex and nonlinear model. However, as input data, position and velocity are not enough because of frictional effect. To compensate it, EMG sensor is used as it reflects the human motion. This paper proposes force estimation algorithm using deep learning and electromyogram. | - |
dc.language | English | - |
dc.publisher | Korea Robotics Society (KROS) | - |
dc.relation.isPartOf | The 16th International Conference on Ubiquitous Robots | - |
dc.relation.isPartOf | UR 2019 IEEE Xplore conference proceedings | - |
dc.title | Force Estimation Algorithm using Deep Learning and Electromyogram | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | The 16th International Conference on Ubiquitous Robots | - |
dc.citation.conferenceDate | 2019-06-24 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | Maison Glad Jeju | - |
dc.citation.title | The 16th International Conference on Ubiquitous Robots | - |
dc.contributor.affiliatedAuthor | CHUNG, WAN KYUN | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.