4륜 미끄럼 조향 로봇의 경로 추종 성능 향상에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 윤석민 | - |
dc.contributor.author | 여태경 | - |
dc.contributor.author | 홍섭 | - |
dc.contributor.author | 박성재 | - |
dc.contributor.author | 김대원 | - |
dc.contributor.author | 김상봉 | - |
dc.date.accessioned | 2021-12-08T19:41:05Z | - |
dc.date.available | 2021-12-08T19:41:05Z | - |
dc.date.issued | 20100604 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5761 | - |
dc.description.abstract | This paper considers about the path tracking approach of 4-wheel skid steering robot(4WSSR) based on LOS method and localization algorithm.. LOS approach is to control two wheel velocities, in order to reduce the distance and heading errors between current point and target point. In previous work, the reliability of localization algorithm fusing UPS(Ultrasonic Position System) and robot's kinematics has been proven. In our skid steering robot, the motion is limited by motor torque restriction and battery condition. From various straight and turning driving experiments, the limitation of straight velocity and heading rate of robot is obtained. And, the optimal values are searched through path tracking experiments for the straight line path. | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | 4륜 미끄럼 조향 로봇의 경로 추종 성능 향상에 관한 연구 | - |
dc.title.alternative | A Study on Improving Path Tracking Performance of 4-Wheel Skid Steering Robot | - |
dc.type | Conference | - |
dc.citation.title | 2010년도 한국해양과학기술협의회 공동학술대회 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 2639 | - |
dc.citation.endPage | 2642 | - |
dc.citation.conferenceName | 2010년도 한국해양과학기술협의회 공동학술대회 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. 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.