dc.contributor.author | MajidiRad, Amir Hossein | |
dc.contributor.author | Maniar, Prasham | |
dc.contributor.author | Yihun, Yimesker S. | |
dc.contributor.author | He, Hongsheng | |
dc.date.accessioned | 2020-09-14T14:37:51Z | |
dc.date.available | 2020-09-14T14:37:51Z | |
dc.date.issued | 2020-04-21 | |
dc.identifier.citation | MajidiRad A., Maniar P., Yihun Y., He H. (2020) Human Factors to Develop a Safety Guard Model in Human-Robot Interaction. In: Larochelle P., McCarthy J. (eds) Proceedings of the 2020 USCToMM Symposium on Mechanical Systems and Robotics. USCToMM MSR 2020. Mechanisms and Machine Science, vol 83:pp 271-286. Springer, Cham. | en_US |
dc.identifier.isbn | 978-3-030-43928-6 | |
dc.identifier.issn | 2211-0984 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-43929-3_24 | |
dc.identifier.uri | https://soar.wichita.edu/handle/10057/19006 | |
dc.description | Click on the DOI link to access the article (may not be free). | en_US |
dc.description.abstract | In this research, a strategy to incorporate an assist-as-needed scheme into human-robot collaboration during an object co-lifting and manipulation task is developed. Surface Electromyography (sEMG) signals from the upper-arm muscles are collected and analyzed to quantify fatigue while the subjects are collaborating with a Universal Robot (UR5). Rated perceived fatigue (RPF) is then utilized to quantify fatigue levels based on personal perception of the subject using the intervals of 25%, 50%, 75% and 100%. This perceived information is correlated with the change in interaction load at the object-robot interface to quantify the modifying factor needed to stay in the optimal human-robot collaboration (HRC) condition. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Mechanisms and Machine Science;v.83 | |
dc.subject | Fatigue level | en_US |
dc.subject | Human-robot collaboration | en_US |
dc.subject | Manipulation task | en_US |
dc.subject | Modifying factors | en_US |
dc.subject | Personal perception | en_US |
dc.subject | Robot interface | en_US |
dc.subject | Safety guards | en_US |
dc.subject | Surface electromyography | en_US |
dc.title | Human factors to develop a safety guard model in human-robot interaction | en_US |
dc.type | Conference paper | en_US |
dc.rights.holder | © 2020, Springer Nature Switzerland AG | en_US |