휴머노이드 로봇의 복합 작업 수행을 위한 행동 선택 알고리즘 Behavior Selection Algorithm of Humanoid Robots for Performing Complex Tasks

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This paper proposes a behavior selection algorithm for humanoid robots to perform complex tasks by defining four input (context) symbols and seven target (atom behavior) symbols. To employ the degree of consideration-based mechanism of thought (DoC-MoT) in the algorithm, the consideration degree for each input symbol is represented by the fuzzy measure and the knowledge link strengths between input and target symbols are represented by the partial evaluation values. Then, each atom behavior is globally evaluated by the fuzzy integral of partial evaluation values with respect to the fuzzy measure values and the atom behavior with the highest evaluation value is selected and activated.
Publisher
제어 로봇 시스템 학회
Issue Date
2014-05
Language
Korean
Citation

제어로봇시스템학회 국내학술대회, pp.51 - 52

URI
http://hdl.handle.net/10203/254878
Appears in Collection
EE-Conference Papers(학술회의논문)
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