Priming as a Means to Reduce Ambiguity in Learning from Demonstration
(English)In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805Article in journal (Refereed) Submitted
Learning from Demonstration (LfD) is an established robot learning technique by which a robot acquires a skill by observing a human or robot teacher demonstrating the skill. In this paper we address the ambiguity involved in inferring the intention with one or several demonstrations. We suggest a method based on priming, and a memory model with similarities to human learning. Conducted experiments show that the developed method leads to faster and improved understanding of the intention with a demonstration by reducing ambiguity.
Learning from Demonstration, Priming, Ant System, Semantic Networks, Ambiguity, Behavior Learning
Research subject Computing Science
IdentifiersURN: urn:nbn:se:umu:diva-97076OAI: oai:DiVA.org:umu-97076DiVA: diva2:770445