Archives: Speakers

Georg Martius

Biography Georg Martius is a research group leader at the Max Planck Institute for  Intelligent Systems in T\”ubingen, Germany since 2017. His background is in computer science, however, his interest is on developmental robotics, machine learning, information theory, artificial life and neuroscience. He was holding postdoc positions at IST Austria and the MPI for Mathematics…

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Kevin O’Regan

Biography Kevin O’Regan is ex-director of the Laboratoire Psychologie de la Perception, CNRS, Université Paris Descartes. After early work on eye movements in reading, he was led to question established notions of the nature of visual perception and to discover, with collaborators, the phenomenon of “change blindness”. In 2011 he published a book with Oxford…

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Matthias Rolf

Biography Matthias Rolf is Senior Lecturer in Computing and Robotics at Oxford Brookes University, UK since 2016. He previously was Specially Appointed Researcher and Assistant Professor at Osaka University, Japan  (2013-2016) and research assistant at Bielefeld University (2008-2013) where he obtained his PhD (with highest honors) in 2012. His research interest spans robotics, machine learning, software engineering, and cognitive…

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Emilio Cartoni

Biography   Abstract Open-ended learning, also named `life-long learning’, `autonomous curriculum learning’, `no-task learning’) aims to build learning machines and robots that are able to acquire skills and knowledge in an incremental fashion. The REAL competition, which is part of NeurIPS 2019 competition track, addresses open-ended learning with a focus on `Robot open-Ended Autonomous Learning’ (REAL), that is on systems that: (a) acquire sensorimotor competence that allows them to interact with objects and physical environments; (b) learn in a fully autonomous way, i.e. with no human intervention, on the basis of mechanisms such as curiosity, intrinsic motivations, task-free reinforcement learning, self-generated goals, and any other mechanism that might support autonomous learning. The competition will have a two-phase structure where during a first ‘intrinsic phase’ the system will…

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