The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tan, Tianye | - |
dc.contributor.author | Cui, Chengyu | - |
dc.contributor.author | Park, Chengyu | - |
dc.date.accessioned | 2022-07-06T10:38:28Z | - |
dc.date.available | 2022-07-06T10:38:28Z | - |
dc.date.created | 2022-03-07 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/139798 | - |
dc.description.abstract | According to the basic concept of the In-Robot Network(IRN), an IRN structure that can handle burst data is proposed. According to the existing research on humanoid robots, it can be seen that the current humanoid robots have a high degree of freedom of joints and carry various sensors at the same time to form a huge IRN network. It can be known from existing research that most of the current humanoid robots operate according to preset scenarios and plans. If a special situation occurs, the current IRN structure of a humanoid robot cannot handle a large amount of burst data in a special situation. Therefore, based on the in-vehicle network (IVN) and time-sensitive network (TSN) concepts, an IRN structure that can handle the data generated in the above-mentioned emergencies is proposed in this article. In this IRN structure, the Domain Control Unit (DCU) is used to detect the status of the data stream in each different area to distinguish whether an emergency occurs. Also, according to different emergencies, use different ways to deal with the emergent data. Meanwhile, it is verified by the OMNet++ network simulation tool. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Chengyu | - |
dc.identifier.doi | 10.1109/IC-NIDC54101.2021.9660596 | - |
dc.identifier.scopusid | 2-s2.0-85124807937 | - |
dc.identifier.bibliographicCitation | Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021, pp.474 - 478 | - |
dc.relation.isPartOf | Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021 | - |
dc.citation.title | Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021 | - |
dc.citation.startPage | 474 | - |
dc.citation.endPage | 478 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Degrees of freedom (mechanics) | - |
dc.subject.keywordPlus | current | - |
dc.subject.keywordPlus | Humanoid | - |
dc.subject.keywordPlus | Humanoid robot | - |
dc.subject.keywordPlus | In-robot network | - |
dc.subject.keywordPlus | In-vehicle networks | - |
dc.subject.keywordPlus | Network | - |
dc.subject.keywordPlus | Network structures | - |
dc.subject.keywordPlus | Robot | - |
dc.subject.keywordPlus | Robot networks | - |
dc.subject.keywordPlus | Time-sensitive network | - |
dc.subject.keywordPlus | Anthropomorphic robots | - |
dc.subject.keywordAuthor | Humanoid | - |
dc.subject.keywordAuthor | IRN | - |
dc.subject.keywordAuthor | IVN | - |
dc.subject.keywordAuthor | Network | - |
dc.subject.keywordAuthor | Robot | - |
dc.subject.keywordAuthor | TSN | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9660596 | - |
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