Assessments of Intuition and Efficiency: Remote Control of the End Point of Excavator in Operational Space by Using One Wrist
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sun, Dongik | - |
dc.contributor.author | Lee, Sangkeun | - |
dc.contributor.author | Lee, Yongseok | - |
dc.contributor.author | Kim, Sangho | - |
dc.contributor.author | Ueda, Jun | - |
dc.contributor.author | Cho, Yong K. | - |
dc.contributor.author | Ahn, Yonghan | - |
dc.contributor.author | Han, Changsoo | - |
dc.date.accessioned | 2021-06-22T11:03:01Z | - |
dc.date.available | 2021-06-22T11:03:01Z | - |
dc.date.issued | 2019-00 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4689 | - |
dc.description.abstract | A robotic teleoperation system of excavator has been developed to improve safety and remote-control methods at hazardous situations such as construction or disaster sites. This paper introduces an innovative remote-control method and a newly developed robotic hardware system, Phantom, to rapidly retrofit existing construction equipment for efficient robotic control from a remote place. The system allows one joystick to control one excavator. A remote operator with two joysticks at a remote workstation can intuitively control two excavators equipped with Phantom simultaneously. The proposed method was compared with typical excavator operation methods to evaluate its performance based on operation time and mechanical movement accuracy from given tasks. The tests show the promising results and the proposed robotic equipment operation approach can significantly improve the safety of the operators who need to work at dangerous site conditions. © 2019 American Society of Civil Engineers. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | American Society of Civil Engineers (ASCE) | - |
dc.title | Assessments of Intuition and Efficiency: Remote Control of the End Point of Excavator in Operational Space by Using One Wrist | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1061/9780784482438.035 | - |
dc.identifier.scopusid | 2-s2.0-85092216438 | - |
dc.identifier.wosid | 000485219700035 | - |
dc.identifier.bibliographicCitation | Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019, pp 273 - 280 | - |
dc.citation.title | Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 | - |
dc.citation.startPage | 273 | - |
dc.citation.endPage | 280 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.subject.keywordPlus | Excavation | - |
dc.subject.keywordPlus | Excavators | - |
dc.subject.keywordPlus | Phantoms | - |
dc.subject.keywordPlus | Remote control | - |
dc.subject.keywordPlus | Robotics | - |
dc.subject.keywordPlus | Safety engineering | - |
dc.subject.keywordPlus | Mechanical movements | - |
dc.subject.keywordPlus | Operation methods | - |
dc.subject.keywordPlus | Operational space | - |
dc.subject.keywordPlus | Performance based | - |
dc.subject.keywordPlus | Remote control method | - |
dc.subject.keywordPlus | Robotic equipments | - |
dc.subject.keywordPlus | Robotic hardware | - |
dc.subject.keywordPlus | Robotic teleoperation | - |
dc.subject.keywordPlus | Construction equipment | - |
dc.identifier.url | https://ascelibrary.org/doi/10.1061/9780784482438.035 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.