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A Perception Framework for Supporting Robots to Recognize Human Better in Human-Robot Interaction
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- Authors
- DoHyung Kim, Jaeyeon Lee, Youngwoo Yoon, Woo-han Yun, Kyu-Dae Ban, Ho-Sub Yoon, Jaehong Kim
- Issue Date
- 2013-08
- Citation
- International Symposium on Robot and Human Interactive Communication (RO-MAN) 2013, pp.314-315
- Language
- English
- Type
- Conference Paper
- Project Code
- 13IC3100, 인식센서융합 기반 실환경하에서 임의의 사용자 30명에 대해 인식률 99%에 근접하는 사용자의 신원과 행위 및 위치 정보 인식 기술 개발, Yoon Ho Sub
- Abstract
- 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 Keywords
- High performance, Human-Robot Interaction(HRI), Service robots