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The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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Interaction and Experience in Enactive Intelligence and Humanoid Robotics
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Interactive language learning by robots : The transition from babbling to word forms
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Robot Acquisition of Lexical Meaning : Moving Towards the Two-word Stage
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From babbling towards first words : The emergence of speech in a robot in real-time interaction
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Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
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Saunders, J.; Nori, F.; Sandini, G.; Cangelosi, A.; Rohlfing, K.; Tani, J.; Nehaniv, C.L.; Tuci, E.; Nolfi, S.; Dautenhahn, K.; Fischer, K.; Wrede, B.; Fadiga, L.; Belpaeme, T.; Zeschel, A.; Sagerer, G.; Metta, G.. - 2010
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Abstract:
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” ; 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. ; Peer reviewed
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URL: http://hdl.handle.net/2299/4974
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Preparing to talk : Interaction between a linguistically enabled agent and a human teacher
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A Constructivist Approach to Robot Language Learning via Simulated Babbling and Holophrase Extraction
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Entropy Indicators for Investigating Early Language Processes
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Open Problems in the Emergence and Evolution of Linguistic Communication: A Road-Map for Research
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Nehaniv, C.L.. - : The Society for the Study of Artificial Intelligence and Simulation of Behaviour, 2005
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The Segmentation of Speech and its Implications for the Emergence of Language Structure
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