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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles Nolfi, S; Förster, F; Bisio, A. - 2016 BASE Show details 2 Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles Saunders, J; Tani, J; Wrede, B. - 2016 BASE Show details 3 Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics Nori, F; Dautenhahn, K; Belpaeme, T. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015 BASE Show details 4 The impact of the contingency of robot feedback on HRI Fischer, K.; Wrede, B.; Rohlfing, K.. - : IEEE, 2013 BASE Show details 5 Contingency scaffolds language learning Lohan, K.S.; Rohlfing, K.; Saunders, J.. - : IEEE, 2012 BASE Show details 6 Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics Saunders, J.; Nori, F.; Sandini, G.. - 2010 BASE Show details 7 Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics Cangelosi, A.; Metta, G.; Sagerer, G.; Nolfi, S.; Nehaniv, C.; Fischer, K.; Tani, J.; Sandini, G.; Fadiga, L.; Wrede, B.; Rohlfing, K.; Tuci, E.; Dautenhahn, K.; Saunders, J.; Zeschel, A.. - 2010 Abstract: 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 URL: http://hdl.handle.net/2160/8609 https://doi.org/10.1109/TAMD.2010.2053034 BASE Hide details 8 Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics Cangelosi, A.; Metta, G.; Sagerer, G.. - 2010 BASE Show details

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