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Chrystopher L. Nehaniv [5]C. Nehaniv [1]Chrystopher Nehaniv [1]
  1.  95
    Experimental Comparisons of Observational Learning Mechanisms for Movement Imitation in Mobile Robots.Joe Saunders, Chrystopher L. Nehaniv & Kerstin Dautenhahn - 2007 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 8 (2):307-335.
    Research into robotic social learning, especially that concerned with imitation, often focuses at differing ends of a spectrum fromobservational learningat one end tofollowingormatched-dependent behaviourat the other. We study the implications and differences that arise when carrying out experiments both at the extremes and within this spectrum. Physical Khepera robots with minimal sensory capabilities are used, and after training, experiments are carried out where an imitating robot perceives the dynamic movement behaviours of another model robot carrying a light source. It learns (...)
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  2.  25
    Naturally Occurring Gestures in a Human–Robot Teaching Scenario.Nuno Otero, Chrystopher L. Nehaniv, Dag Sverre Syrdal & Kerstin Dautenhahn - 2008 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 9 (3):519-550.
    This paper describes our general framework for the investigation of how human gestures can be used to facilitate the interaction and communication between humans and robots. Two studies were carried out to reveal which “naturally occurring” gestures can be observed in a scenario where users had to explain to a robot how to perform a home task. Both studies followed a within-subjects design: participants had to demonstrate how to lay a table to a robot using two different methods — utilizing (...)
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  3.  70
    The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning.Frank Broz, Chrystopher L. Nehaniv, Tony Belpaeme, Ambra Bisio, Kerstin Dautenhahn, Luciano Fadiga, Tomassino Ferrauto, Kerstin Fischer, Frank Förster, Onofrio Gigliotta, Sascha Griffiths, Hagen Lehmann, Katrin S. Lohan, Caroline Lyon, Davide Marocco, Gianluca Massera, Giorgio Metta, Vishwanathan Mohan, Anthony Morse, Stefano Nolfi, Francesco Nori, Martin Peniak, Karola Pitsch, Katharina J. Rohlfing, Gerhard Sagerer, Yo Sato, Joe Saunders, Lars Schillingmann, Alessandra Sciutti, Vadim Tikhanoff, Britta Wrede, Arne Zeschel & Angelo Cangelosi - 2014 - Topics in Cognitive Science 6 (3):534-544.
    This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these (...)
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  4.  31
    Towards Robot Cultures?: Learning to Imitate in a Robotic Arm Test-Bed with Dissimilarly Embodied Agents.Aris Alissandrakis, Chrystopher L. Nehaniv & Kerstin Dautenhahn - 2004 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 5 (1):3-44.
    The study of imitation and other mechanisms of social learning is an exciting area of research for all those interested in understanding the origin and the nature of animal learning in asocial context. Moreover, imitation is an increasingly important research topic in Artificial Intelligence and social robotics which opens up the possibility ofindividualized social intelligencein robots that are part of a community, and allows us to harness not only individual learning by the single robot, but also the acquisition of new (...)
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  5. People with Specific Learning Difficulties-TouchStory: Towards an Interactive Learning Environment for Helping Children with Autism to Understand Narrative.Megan Davis, Kerstin Dautenhahn, Chrystopher Nehaniv & Stuart D. Powell - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 785-792.
     
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