Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results.

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Lyon, Caroline
Nehaniv, Chrystopher L.
Saunders, Joe
Belpaeme, Tony
Bisio, Ambra
Fischer, Kerstin
Forster, Frank
Lehmann, Hagen
Metta, Giorgio
Mohan, Vishwanathan
Morse, Anthony
Nolfi, Stefano
Nori, Francesco
Rohlfing, Katharina
Sciutti, Alessandra
Tani, Jun
Tuci, Elio
Wrede, Britta
Zeschel, Arne
Cangelosi, Angelo
Institute for Production Engineering. Intelligent Manufacturing Systems. Vienna University of Technology., Wien, Austria
International journal of advanced robotic systems (Print) 13 (2016). doi:10.5772/63462
info:cnr-pdr/source/autori:Lyon, Caroline; Nehaniv, Chrystopher L.; Saunders, Joe; Belpaeme, Tony; Bisio, Ambra; Fischer, Kerstin; Forster, Frank; Lehmann, Hagen; Metta, Giorgio; Mohan, Vishwanathan; Morse, Anthony; Nolfi, Stefano; Nori, Francesco; Rohlfi
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Ritratto di Stefano Nolfi
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