ファジィ論理に基づく文化適応型ロボットのフレームワーク
A framework for Culture-aware Robots based on Fuzzy Logic
言語変数とファジィルールを用いて文化的要因をロボットの行動パラメータにマッピングし、ユーザーの文化に自動適応するロボット設計手法を提案した論文。
著者: Barbara Bruno, Fulvio Mastrogiovanni, Federico Pecora, Antonio Sgorbissa, Alessandro Saffiotti
分類: cs.RO, cs.AI
原文アブストラクト
Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application. However, culture-dependent robot behaviours are often implicitly set by designers, thus not allowing for an easy and automatic adaptation to different cultures. This paper presents a method for the design of culture-aware robots, that can automatically adapt their behaviour to conform to a given culture. We propose a mapping from cultural factors to related parameters of robot behaviours which relies on linguistic variables to encode heterogeneous cultural factors in a uniform formalism, and on fuzzy rules to encode qualitative relations among multiple variables. We illustrate the approach in two practical case studies.
