Embodied Language Learning and Cognitive Bootstrapping

Methods and Design Principles

C.E. Lyon, C. L. Nehaniv, Joe Saunders, Toni Belpaeme, A. Bisio, K. Fischer, F. Förster, Hagen Lehmann, Giogio Metta, V Mohan, A. Morse, S. Nolfi, F. Nori, Katharina Rohlfing, A. Sciutti, Jun Tani, E. Tuci, Britta Wrede, A. Zeschel, Angelo Cangelosi

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Abstract

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. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods. © 2016 Author(s).
Original languageEnglish
Article number105
JournalInternational Journal of Advanced Robotic Systems
Volume13
Issue number3
Number of pages22
ISSN1729-8806
DOIs
Publication statusPublished - 2016

Cite this

Lyon, C.E. ; Nehaniv, C. L. ; Saunders, Joe ; Belpaeme, Toni ; Bisio, A. ; Fischer, K. ; Förster, F. ; Lehmann, Hagen ; Metta, Giogio ; Mohan, V ; Morse, A. ; Nolfi, S. ; Nori, F. ; Rohlfing, Katharina ; Sciutti, A. ; Tani, Jun ; Tuci, E. ; Wrede, Britta ; Zeschel, A. ; Cangelosi, Angelo. / Embodied Language Learning and Cognitive Bootstrapping : Methods and Design Principles. In: International Journal of Advanced Robotic Systems. 2016 ; Vol. 13, No. 3.
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abstract = "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. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods. {\circledC} 2016 Author(s).",
author = "C.E. Lyon and Nehaniv, {C. L.} and Joe Saunders and Toni Belpaeme and A. Bisio and K. Fischer and F. F{\"o}rster and Hagen Lehmann and Giogio Metta and V Mohan and A. Morse and S. Nolfi and F. Nori and Katharina Rohlfing and A. Sciutti and Jun Tani and E. Tuci and Britta Wrede and A. Zeschel and Angelo Cangelosi",
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Lyon, CE, Nehaniv, CL, Saunders, J, Belpaeme, T, Bisio, A, Fischer, K, Förster, F, Lehmann, H, Metta, G, Mohan, V, Morse, A, Nolfi, S, Nori, F, Rohlfing, K, Sciutti, A, Tani, J, Tuci, E, Wrede, B, Zeschel, A & Cangelosi, A 2016, 'Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles', International Journal of Advanced Robotic Systems, vol. 13, no. 3, 105. https://doi.org/10.5772/63462

Embodied Language Learning and Cognitive Bootstrapping : Methods and Design Principles. / Lyon, C.E.; Nehaniv, C. L.; Saunders, Joe; Belpaeme, Toni; Bisio, A.; Fischer, K.; Förster, F.; Lehmann, Hagen; Metta, Giogio; Mohan, V; Morse, A.; Nolfi, S.; Nori, F.; Rohlfing, Katharina; Sciutti, A.; Tani, Jun; Tuci, E.; Wrede, Britta; Zeschel, A.; Cangelosi, Angelo.

In: International Journal of Advanced Robotic Systems, Vol. 13, No. 3, 105, 2016.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Embodied Language Learning and Cognitive Bootstrapping

T2 - Methods and Design Principles

AU - Lyon, C.E.

AU - Nehaniv, C. L.

AU - Saunders, Joe

AU - Belpaeme, Toni

AU - Bisio, A.

AU - Fischer, K.

AU - Förster, F.

AU - Lehmann, Hagen

AU - Metta, Giogio

AU - Mohan, V

AU - Morse, A.

AU - Nolfi, S.

AU - Nori, F.

AU - Rohlfing, Katharina

AU - Sciutti, A.

AU - Tani, Jun

AU - Tuci, E.

AU - Wrede, Britta

AU - Zeschel, A.

AU - Cangelosi, Angelo

N1 - Export Date: 22 March 2017

PY - 2016

Y1 - 2016

N2 - 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. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods. © 2016 Author(s).

AB - 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. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods. © 2016 Author(s).

U2 - 10.5772/63462

DO - 10.5772/63462

M3 - Journal article

VL - 13

JO - International Journal of Advanced Robotic Systems

JF - International Journal of Advanced Robotic Systems

SN - 1729-8806

IS - 3

M1 - 105

ER -