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1	The Use of Phonetic Motor Invariants Can Improve Automatic Phoneme Discrimination
	Castellini, C; Metta, G; Sandini, G. - : PUBLIC LIBRARY SCIENCE, 2017
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2	Partial Force Control of Constrained Floating-Base Robots
	Prete, AD; Mansard, N; Nori, F. - 2017
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3	Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
	Nolfi, S; Förster, F; Bisio, A. - 2016
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4	Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
	Saunders, J; Tani, J; Wrede, B. - 2016
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5	Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
	Nori, F; Dautenhahn, K; Belpaeme, T; Zeschel, A; Metta, G; Sandini, G; Sagerer, G; Nehaniv, C; Tani, J; Saunders, J; Wrede, B; Nolfi, S; Fadiga, L; Rohlfing, K; Fischer, K; Cangelosi, A; Tuci, E. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015
	Abstract: affiliation: Cangelosi, A (Reprint Author), Univ Plymouth, Ctr Robot & Neural Syst, Plymouth PL4 8AA, Devon, England. Cangelosi, Angelo; Belpaeme, Tony, Univ Plymouth, Ctr Robot & Neural Syst, Plymouth PL4 8AA, Devon, England. Metta, Giorgio; Sandini, Giulio; Nori, Francesco; Fadiga, Luciano, Italian Inst Technol Robot Brain & Cognit Sci, I-16163 Genoa, Italy. Sagerer, Gerhard; Wrede, Britta; Rohlfing, Katharina, Univ Bielefeld, Appl Comp Sci Grp, D-33611 Bielefeld, Germany. Nolfi, Stefano; Tuci, Elio, CNR, Inst Cognit Sci & Technol, I-00185 Rome, Italy. Nehaniv, Chrystopher; Dautenhahn, Kerstin; Saunders, Joe, Univ Hertfordshire, Adapt Syst Res Grp, Hatfield AL10 9AB, Herts, England. Fischer, Kerstin; Zeschel, Arne, Univ So Denmark, Dept Business Commun & Informat Sci, DK-5230 Odense, Denmark. Tani, Jun, RIKEN, Brains Sci Inst, Wako, Saitama 3510198, Japan. Fadiga, Luciano, Univ Ferrara, Dept Human Physiol, I-44100 Ferrara, Italy. keywords: Action learning; humanoid robot; language development; roadmap; social learning keywords-plus: AUTONOMOUS MENTAL-DEVELOPMENT; VENTRAL PREMOTOR CORTEX; CHILD-DIRECTED SPEECH; NEURAL-NETWORKS; MIRROR NEURONS; INTERSENSORY REDUNDANCY; COGNITIVE-DEVELOPMENT; SYNTACTIC DEVELOPMENT; SEMANTIC SIMILARITY; GROUNDING LANGUAGE research-areas: Computer Science; Robotics; Neurosciences & Neurology web-of-science-categories: Computer Science, Artificial Intelligence; Robotics; Neurosciences author-email: acan-gelosi@plymouth.ac.uk giorgio.metta@iit.it sagerer@techfak.uni-bielefeld.de stefano.nolfi@istc.crn.it c.l.nehaniv@herts.ac.uk kerstin@sitkom.sdu.dk tani@brain.riken.jp tbelpaeme@plymouth.ac.uk giulio.sandin@iit.iti francesco.nori@iit.it fdl@unife.it bwrede@techfak.uni-bielefeld.de rohlfing@techfak.uni-bielefeld.de elio.tuci@istc.crn.it k.dautenhahn@herts.ac.uk j.2.saunders@herts.ac.uk zeschel@sitkom.sdu.dk researcherid-numbers: Nori, Francesco/J-3416-2012 funding-acknowledgement: EU [214886] funding-text: This work was supported by the EU Integrating Project “ITALK” (214886), within the FP7 ICT program “Cognitive Systems, Interaction, and Robotics.” number-of-cited-references: 280 times-cited: 15 journal-iso: IEEE Trans. Auton. Ment. Dev. doc-delivery-number: 820JQ unique-id: ISI:000294902200002 ; This position paper proposes that the study of embodied cognitive agents, such as humanoid robots, can advance our understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills. This in turn will benefit the design of cognitive robots capable of learning to handle and manipulate objects and tools autonomously, to cooperate and communicate with other robots and humans, and to adapt their abilities to changing internal, environmental, and social conditions. Four key areas of research challenges are discussed, specifically for the issues related to the understanding of: 1) how agents learn and represent compositional actions; 2) how agents learn and represent compositional lexica; 3) the dynamics of social interaction and learning; and 4) how compositional action and language representations are integrated to bootstrap the cognitive system. The review of specific issues and progress in these areas is then translated into a practical roadmap based on a series of milestones. These milestones provide a possible set of cognitive robotics goals and test scenarios, thus acting as a research roadmap for future work on cognitive developmental robotics.
	URL: https://doi.org/10.1109/TAMD.2010.2053034 http://hdl.handle.net/10026.1/3620
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6	Modeling speech imitation and ecological learning of auditory-motor maps.
	Canevari, C; Badino, L; D'Ausilio, A. - : Switzerland, 2013
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7	Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
	Saunders, J.; Nori, F.; Sandini, G.. - 2010
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8	Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
	Cangelosi, A.; Metta, G.; Sagerer, G.. - 2010
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9	Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
	Cangelosi, A.; Metta, G.; Sagerer, G.. - 2010
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