Improvement of Robot Task accuracy by multi-view Eye-in-Hand

Howon Jung, Byeong Chang Kang, Kyung Jae Jang, Jong Hyeong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a multi-viewing eye-in-hand system configured with an RGB-D camera and a 6-axis robot manipulator to improve robot task accuracy. This system can capture optimal images by changing the viewing direction and field-of-view of the RGB-D camera. The proposed method is very efficient for robot applications, compared to multi-viewing vision system of using several cameras.

Original languageEnglish
Title of host publication2024 24th International Conference on Control, Automation and Systems, ICCAS 2024
PublisherIEEE Computer Society
Pages1527-1528
Number of pages2
ISBN (Electronic)9788993215380
DOIs
StatePublished - 2024
Event24th International Conference on Control, Automation and Systems, ICCAS 2024 - Jeju, Korea, Republic of
Duration: 29 Oct 20241 Nov 2024

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference24th International Conference on Control, Automation and Systems, ICCAS 2024
Country/TerritoryKorea, Republic of
CityJeju
Period29/10/241/11/24

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