Title
A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks.
Abstract
Bio-inspired robots still rely on classic robot control although advances in neurophysiology allow adaptation to control as well. However, the connection of a robot to spiking neuronal networks needs adjustments for each purpose and requires frequent adaptation during an iterative development. Existing approaches cannot bridge the gap between robotics and neuroscience or do not account for frequent adaptations. The contribution of this paper is an architecture and domain-specific language (DSL) for connecting robots to spiking neuronal networks for iterative testing in simulations, allowing neuroscientists to abstract from implementation details. The framework is implemented in a web-based platform. We validate the applicability of our approach with a case study based on image processing for controlling a four-wheeled robot in an experiment setting inspired by Braitenberg vehicles.
Year
DOI
Venue
2017
10.1007/s10846-016-0412-6
Journal of Intelligent and Robotic Systems
Keywords
Field
DocType
Neurorobotics,Human brain,Spiking neuronal networks,Domain-specific languages,Model-driven engineering
Domain-specific language,Neurorobotics,Robot control,Iterative and incremental development,Model-driven architecture,Computer science,Artificial intelligence,Robot,Robotics,Braitenberg vehicle
Journal
Volume
Issue
ISSN
85
1
0921-0296
Citations 
PageRank 
References 
3
0.43
16
Authors
14
Name
Order
Citations
PageRank
Georg Hinkel1449.77
Henning Groenda28510.99
Sebastian Krach371.15
Lorenzo Vannucci4286.00
Oliver Denninger591.97
Nino Cauli6233.03
Stefan Ulbrich7151.18
Arne Rönnau87824.20
Egidio Falotico98518.05
Marc-Oliver Gewaltig10151.18
Alois Knoll Knoll111700271.32
Rüdiger Dillmann122201262.95
Cecilia Laschi1368199.92
Ralf Reussner142111162.14