Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

التفاصيل البيبلوغرافية
العنوان: Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform
المؤلفون: Oliver Denninger, Cecilia Laschi, Georg Hinkel, Luc Guyot, Florian Röhrbein, Igor Peric, Sandro Weber, Juan Camilo Vasquez Tieck, Alina Roitberg, Egidio Falotico, Nino Cauli, Stefan Ulbrich, Pablo Martínez-Cañada, Lorenzo Vannucci, Rudiger Dillman, Axel von Arnim, Alois Knoll, Marc-Oliver Gewaltig, Ugo Albanese, Alessandro Ambrosano, Paul Levi, Jacques Kaiser, Arne Roennau, Murat Kirtay, Patrick Maier, Patrick van der Smagt, David A. Plecher, Eduardo Ros, Stefan Deser, Daniel Peppicelli, Manuel Huber, Gudrun Klinker
المصدر: Digibug. Repositorio Institucional de la Universidad de Granada
instname
Frontiers in Neurorobotics
مصطلحات موضوعية: brain simulation, neurorobotics, robot programming, robot simulation, software architectures, web technologies, Computer science, Biomedical Engineering, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, 0501 psychology and cognitive sciences, Technology Report, Spiking neural network, business.industry, 05 social sciences, Mobile robot, Human Brain Project, Brain simulation, ddc, Robot, Artificial intelligence, business, 030217 neurology & neurosurgery, iCub, Humanoid robot, Neuroscience, Neurorobotics
الوصف: Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task. Rather, the embodiment has to be simulated as well. While adequate tools exist to simulate either complex neural networks or robots and their environments, there is so far no tool that allows to easily establish a communication between brain and body models. The Neurorobotics Platform is a new web-based environment that aims to fill this gap by offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of robot bodies and environments and to use the resulting neurorobotic systems for in silico experimentation. In order to simplify the workflow and reduce the level of the required programming skills, the platform provides editors for the specification of experimental sequences and conditions, environments, robots, and brain–body connectors. In addition to that, a variety of existing robots and environments are provided. This work presents the architecture of the first release of the Neurorobotics Platform developed in subproject 10 “Neurorobotics” of the Human Brain Project (HBP).1 At the current state, the Neurorobotics Platform allows researchers to design and run basic experiments in neurorobotics using simulated robots and simulated environments linked to simplified versions of brain models. We illustrate the capabilities of the platform with three example experiments: a Braitenberg task implemented on a mobile robot, a sensory-motor learning task based on a robotic controller, and a visual tracking embedding a retina model on the iCub humanoid robot. These use-cases allow to assess the applicability of the Neurorobotics Platform for robotic tasks as well as in neuroscientific experiments.
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604102 (Human Brain Project) and from the European Unions Horizon 2020 Research and Innovation Programme under Grant Agreement No. 720270 (HBP SGA1).
وصف الملف: application/pdf
اللغة: English
تدمد: 1662-5218
DOI: 10.3389/fnbot.2017.00002
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e12522b1f00f3df1748e081ae2a95ac8
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....e12522b1f00f3df1748e081ae2a95ac8
قاعدة البيانات: OpenAIRE
الوصف
تدمد:16625218
DOI:10.3389/fnbot.2017.00002