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 Hinkel | 1 | 44 | 9.77 |
Henning Groenda | 2 | 85 | 10.99 |
Sebastian Krach | 3 | 7 | 1.15 |
Lorenzo Vannucci | 4 | 28 | 6.00 |
Oliver Denninger | 5 | 9 | 1.97 |
Nino Cauli | 6 | 23 | 3.03 |
Stefan Ulbrich | 7 | 15 | 1.18 |
Arne Rönnau | 8 | 78 | 24.20 |
Egidio Falotico | 9 | 85 | 18.05 |
Marc-Oliver Gewaltig | 10 | 15 | 1.18 |
Alois Knoll Knoll | 11 | 1700 | 271.32 |
Rüdiger Dillmann | 12 | 2201 | 262.95 |
Cecilia Laschi | 13 | 681 | 99.92 |
Ralf Reussner | 14 | 2111 | 162.14 |