메뉴 건너뛰기
소속 기관 / 학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Meiji University) (Meiji University) (Meiji University)
저널정보
대한기계학회 대한기계학회 춘추학술대회 Proceedings of the 4th Korea-Japan Joint Symposium on Dynamics and Control
오류 신고하기

피인용 0

검색

    초록·키워드

    In robotics, one of the most difficult task is to perform a precisely and fast movement of a robotic arm. For paper-folding robots, it is still extremely difficult to execute the required manipulations of the paper mainly because the difficulties in modeling and control of the paper. In this paper two control models are proposed to resolve this problem. One of the closest approaches to solve this problem comes from Neuroscience, where using a human’s brain inspired control system known as Cerebellar control model, precisely and fast movements of a robotic arm can be performed. In this paper a Feedback controller motor command is used as a target signal to train an Artificial Neural Network (ANN), in order to use the output of the ANN as a Feed-forward signal.

    최근 본 자료 전체보기

      UCI(KEPA) : I410-ECN-0101-2016-550-001606482