<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">CALL FOR POSTERS ------------------------------------------------------------------------------------------------------------------------------------------------------</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">IROS Half-Day Workshop on Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class=""><a href="http://neurorobotics.net/workshop/iros-workshop/" class="">http://neurorobotics.net/workshop/iros-workshop/</a><o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">We encourage the submission of poster abstracts for our IROS 2015 workshop (see below for relevant topics of interest). Accepted submitters will not only get the chance to present their posters during this exciting event and meet other experts from the field but also to publish their work in a special issue of the journal frontiers in Neurorobotics (<a href="http://journal.frontiersin.org/journal/neurorobotics" class="">http://journal.frontiersin.org/journal/neurorobotics</a>). Submitted abstracts should be 0.5 – 2 pages long and will be reviewed by at least two peers. The selection of accepted posters will be done by the organizing committee, based on the reviews. We are looking forward to receiving your submission!</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">PLACE & DATES ------------------------------------------------------------------------------------------------------------------------------------------------------------</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">IROS 2015 2015 Hamburg, Germany (<a href="http://www.iros2015.org/" class="">www.iros2015.org</a>)</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Abstract Submission Deadline: August 15<o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Notification of Acceptance: September 07<o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Workshop: October 02, 2015, Morning Session<o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">OBJECTIVES -----------------------------------------------------------------------------------------------------------------------------------------------------------------</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Even today’s most advanced robots perform poorly at simple everyday tasks carried out routinely by humans and animals. This has very early motivated researchers to adopt neurobiological principles of cognition and control in robotics, yielding numerous approaches based on artificial neural networks and machine learning. However, many of the originally proposed methods employ neural networks solely for the purpose of approximating and replicating standard control architectures. At the same time, research focusing more on biological plausibility severely suffered from limitations on size and accuracy of the neural simulations imposed by hardware constraints.</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">In recent years, new theoretical insights and the increasing availability of cheap processing power have brought new momentum to the field which has evolved into two tracks of research with different goals and methods. In the new and emerging field of neurorobotics, the focus is on a close correspondence to experimental findings from neurosciences. Detailed simulations of spiking neural networks and the use biologically plausible neural learning rules are therefore more important than mathematical tractability or implementation efficiency and enable a seamless exchange of results between both disciplines. In contrast, new approaches extending the theory of classical artificial neural networks mostly rely on simpler neuron models but integrate them at much larger scales or embed them in novel network architectures.</span> </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">This workshop seeks to provide a platform to present and discuss advances in biologically inspired brain-like cognition and control for robotic applications based on both biologically plausible and artificial neural networks. By bringing together experts from both fields, we intend to foster a fruitful exchange between the different communities. The global scope of the workshop furthermore makes participation also equally attractive for researchers new to the field. Interactive demonstrations of tools and implementations will help to get all attendants actively involved. A dedicated poster session additionally offers enough room for individual discussion.<o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">TOPICS OF INTEREST -----------------------------------------------------------------------------------------------------------------------------------------------------------------</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Neurorobotics</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Spiking neural networks for robotic applications</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Bio-inspired learning</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Self-organization</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Embodiment</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Applications of neuromorphic hardware designs in robotics</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Reservoir computing</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -17.85pt;" class="">Deep learning</span> </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">INVITED SPEAKERS ------------------------------------------------------------------------------------------------------------------------------------------------------- <o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Auke Jan Ijspeert, Biorobotics Laboratory, École Polytechnique Fédérale de Lausanne, Switzerland</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Joni Dambre, Reservoir Computing Lab, Ghent University, Belgium</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Manfred Hild, Neurorobotics Research Laboratory, Beuth Hochschule für Technik Berlin,Germany</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Herbert Jäger, Jacobs University, Germany</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Jason Yosinski, Cornell University, USA (tenative)</span> </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">ORGANIZERS --------------------------------------------------------------------------------------------------------------------------------------------------------------- <o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Florian Walter, Technische Universität München, Germany</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Florian Röhrbein, Technische Universität München, Germany</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Stefan Ulbrich, FZI Forschungszentrum Informatik, Germany</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="text-indent: -18pt;" class="">Rüdiger Dillmann, Karlsruher Institut für Technologie (KIT), Germany</span> </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">CONTACT --------------------------------------------------------------------------------------------------------------------------------------------------------------------</span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Florian Walter<o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Institut für Informatik VI, </span>Technische Universität München</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">Boltzmannstraße 3, </span>85748 Garching b. München, Germany</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class=""><a href="mailto:florian.walter@tum.de" class="">florian.walter@tum.de</a></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class=""><a href="http://www.neurorobotics.net" class="">http://www.neurorobotics.net</a><o:p class=""></o:p></span></p><p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span lang="EN-US" class="">----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- </span></p></body></html>