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학술대회 Vision-Based Bin Picking System for Industrial Robotics Applications
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저자
김계경, 김중배, 강상승, 김재홍, 이재연
발행일
201211
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2012, pp.515-516
DOI
https://dx.doi.org/10.1109/URAI.2012.6463057
협약과제
12MC3500, 양팔 작업을 위한 센서융합 인지 기반 제어기술 개발 및 다중로봇 협업 생산공정 적용 기술 개발, 김중배
초록
The vision-based bin picking using object recognition has been considered as an innovative manufacturing process in industrial robotics applications. In bin picking system, pick and place tasks are performed by robot which has been processed by measuring object pose. But it has to address challenge problems such as object appearance distorted by overlapping parts, lighting variation or reflection, picking from randomly piled parts in a bin. This research is to investigate a vision-based bin-picking method, which provides a robust and efficient method to recognize object and to estimate pose with multiple vision sensors. Copyright © 2012 IEEE.
KSP 제안 키워드
Bin-picking, Challenge problem, Manufacturing processes, Object Recognition, Pick and Place, Picking system, Vision sensor, industrial robotics, innovative manufacturing, object pose, robotics applications