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A synchrony based approach for human robot interaction
Get PDFAs psychologists considered synchrony as an important parameter for social interaction, we hypothesize that in the case of social interaction, people focus their attention on regions of interest where the visual stimuli are synchronized with their inner dynamics. Then, we assume that a mechanism able to detect synchrony between internal dynamics of a robot and external visual stimuli can be used as a starting point for human robot interaction. Inspired by human psychological and neurobiological data, we propose a synchrony based neural network architecture capable of selecting the robot interaction partner and of locating Focus of Attention
Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition, 10-12 September 2012, Lausanne, Switzerland
Get PDFThe aim of the Postgraduate Conference on Robotics and Development of Cognition (RobotDoC-PhD) is to bring together young scientists working on developmental cognitive robotics and its core disciplines. The conference aims to provide both feedback and greater visibility to their research as lively and stimulating discussion can be held amongst participating PhD students and senior researchers. The conference is open to all PhD students and post-doctoral researchers in the field. RobotDoC-PhD conference is an initiative as a part of Marie-Curie Actions ITN RobotDoC and will be organized as a satellite event of the 22nd International Conference on Artificial Neural Networks ICANN 2012
:Fortbildungstermin: "Forschungsergebnisse im Kontext" - Die Rolle der Universität Bielefeld im FP7 Projekt OpenAIREplus
No full textFrom typical neurocognitive development to neurorehabilitation of autistic children using mobile toy robots
Get PDFMorphology Dependent Distributed Controller for Locomotion in Modular Robots
Get PDFStigmergy is defined as a mechanism of coordination through indirect communication among agents, which can be commonly observed in social insects such as ants. In this work we investigate the emergence of coordination for locomotion in modular robots through indirect communication among modules. We demonstrate how intra-configuration forces that exist between physically connected modules can be used for self-organization in modular robots, and how the emerging global behavior is a result of the morphology of the robotic configuration
