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학술대회 A Perception Framework for Supporting Robots to Recognize Human Better in Human-Robot Interaction
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저자
김도형, 이재연, 윤영우, 윤우한, 반규대, 윤호섭, 김재홍
발행일
201308
출처
International Symposium on Robot and Human Interactive Communication (RO-MAN) 2013, pp.314-315
DOI
https://dx.doi.org/10.1109/ROMAN.2013.6628508
협약과제
13IC3100, 인식센서융합 기반 실환경하에서 임의의 사용자 30명에 대해 인식률 99%에 근접하는 사용자의 신원과 행위 및 위치 정보 인식 기술 개발, 윤호섭
초록
This paper describes the reason that perception technology in HRI has not given high performance enough to be used for commercial service robots. As a practical solution for better performance of perception technology, we propose a perception framework with a dedicated perception engine called a perception demon. The demon in the proposed framework constantly collects evidences and analyses them better by combining various types of individual perception components. The proposed framework enables robot makers to easily get more reliable information on humans without concerns about optimizing perception components to their robots. © 2013 IEEE.
KSP 제안 키워드
High performance, Human-Robot Interaction(HRI), Service robots