상세정보
학술대회
A Service Recommendation Using Reinforcement Learning for Network-based Robots in Ubiquitous Computing Environments
- 발행일
- 200708
- 출처
- International Symposium on Robot and Human Interactive Communication (RO-MAN) 2007, pp.821-826
- 협약과제
- 07MI1200, 능동형 서비스를 위한 URC 서버 프레임웍 개발, 조현규
- 초록
- Ubiquitous Robotic Companion (URC) is a new concept for the network-based robot platform which can enable to be following its master wherever or whenever he/she be in order to provide necessary services. The robot platforms in present normally interest in providing services through the direct interaction in responding to the user's demands. On the other hand, URC services are required to be provided by the means of recognizing the circumstances and taking a user's preference into account. In this paper, we propose a service recommendation scheme for URC robots. The proposed service recommendation, developed based on the reinforcement learning, can be used to provide personalized services by learning users' preferences or tasks through the interaction with users. Using simulation for rapid testing, we evaluate of the proposed scheme under a variety of user modeling types and discount factors. ©2007 IEEE.
- KSP 제안 키워드
- Network-based robot, Personalized service, Recommendation scheme, Reinforcement Learning(RL), Robot platform, Service Recommendation, Ubiquitous computing environment, User modeling, User's Preference, direct interaction, robotic companion