Action Development and Integration in an Humanoid iCub Robot
Part of the
Lecture Notes in Computer Science
book series (LNCS, volume 7375)
One major challenge in adaptive/developmental robotics is constituted by the need to identify design principles that allow robots to acquire and display different behavioral skills by consistently and scalably integrating new behaviors into their existing behavioral repertoire. In this paper we briefly present a novel method that can address this objective, the theoretical background behind the proposed methodology, and the preliminary results obtained in a series of experiments in which a humanoid iCub robot develops progressively more complex object manipulation skills through an incremental language mediated training process.
KeywordsComplex Adaptive System Behavioral Skill Behavioral Repertoire Colored Object Peripersonal Space
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Nolfi, S.: Behaviour as a complex adaptive system: on the role of self-organization in the development of individual and collective behaviour. ComplexUs 2(3-4), 195–203 (2006)CrossRefGoogle Scholar
Mirolli, M., Parisi, D.: Towards a Vygotskyan Cognitive Robotics: The Role of Language as a Cognitive Tool. New Ideas in Psychology 9, 298–311 (2011)CrossRefGoogle Scholar
Zhang, Y., Weng, J.: Task transfer by a developmental robot. IEEE Transactions on Evolutionary Computation 2(11), 226–248 (2007)CrossRefGoogle Scholar
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