Towards Intelligent Social Robots: Current Advances in Cognitive Robotics Amir Aly, Sascha Griffiths, Francesca Stramandinoli To cite this version: Amir Aly, Sascha Griffiths, Francesca Stramandinoli. Towards Intelligent Social Robots: Current Advances in Cognitive Robotics . France. 2015. hal-01673866 HAL Id: hal-01673866 https://hal.archives-ouvertes.fr/hal-01673866 Submitted on 1 Jan 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Proceedings of the Full Day Workshop Towards Intelligent Social Robots: Current Advances in Cognitive Robotics in Conjunction with Humanoids 2015 South Korea November 3, 2015 Amir Aly1, Sascha Griffiths2, Francesca Stramandinoli3 1- ENSTA ParisTech – France 2- Queen Mary University – England 3- Italian Institute of Technology – Italy Towards Emerging Multimodal Cognitive Representations from Neural Self-Organization German I. Parisi, Cornelius Weber and Stefan Wermter Knowledge Technology Institute, Department of Informatics University of Hamburg, Germany fparisi,weber,
[email protected] http://www.informatik.uni-hamburg.de/WTM/ Abstract—The integration of multisensory information plays a processing of a huge amount of visual information to learn crucial role in autonomous robotics. In this work, we investigate inherent spatiotemporal dependencies in the data. To tackle how robust multimodal representations can naturally develop in this issue, learning-based mechanisms have been typically used a self-organized manner from co-occurring multisensory inputs.