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INI celebration 7 June 2019 Beckmanns Hof

Former and current members of the INI gather on June 7, 2019, for a scientific colloquium followed by a social event at Beckmanns Hof on the RUB Campus. We use the excuse of the 60th birthday of INI director Gregor Schöner to learn about the current interests of some of his former students and to have informal exchange among all of us.

Here is the scientific program: 

16:00 - 16:20 Estela Bicho, Universidade do Minho, Guimarães, Portugal: A motion control of autonomous mobile robots via attractor dynamics: from theory to validation on factory floors

16:20 - 16:40 Wolfram Erlhagen, Universidade do Minho, Guimarães, Portugal: A DNF approach to natural and efficient HRI/HRC: cognitive and learning issues

16:40 - 17:00 Alexander Gepperth, Hochschule Fulda:  Myth Busting: Catastrophic forgetting in applied scenarios

17:00 - 17:20 Christian Faubel, Der Strudel: Songs from my analogue utopia

17:20 - 17:40 Coffee break  

17:40- - 18:00 Yulia Sandamirskaya, Institut für Neuroinformatik, ETH/Uni Zürich, Schweiz (via skype): Cracking the DNF Code: from lib to cedar to neuromorphic hardware

18:00 - 18:20  Sebastian Schneegans, Cambridge University, UK: Developing and testing complex dynamic field architectures

18:20 - 18: 40 Jonas Lins/Mathis Richter, INI: Grounding grounding: Neural process models and behavioral signatures of relational cognition

18:40 - 19:00 Hendrik Reimann, University of Delaware, Newark DE, USA (via skype): How to Walk on Two Legs Without Falling 

After 19:00 we will have a grill dinner, with drinks and time to talk at Beckmann's Hof. 

If you don't know where Beckmanns Hof is, look it up here: How to get to Beckmanns Hof

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
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