A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks

Article, Other literature type English OPEN
Hinkel, Georg; Groenda, Henning; Krach, Sebastian; Vannucci, Lorenzo; Denninger, Oliver; Cauli, Nino; Ulbrich, Stefan; Roennau, Arne; Falotico, Egidio; Gewaltig, Marc-Oliver; Knoll, Alois; Dillmann, Rüdiger; Laschi, Cecilia; Reussner, Ralf;
  • Publisher: Springer Nature
  • Journal: volume 85, issue 1, pages 71-91issn: 0921-0296, 1573-0409 0921-0296 1573-0409, eissn: 1573-0409
  • Publisher copyright policies & self-archiving
  • Identifiers: doi: 10.1007/s10846-016-0412-6, doi: 10.5445/IR/1000059537
  • Subject: Domain-specific languages | Mechanical Engineering | Software | Industrial and Manufacturing Engineering | Spiking neuronal networks | Control and Systems Engineering | DATA processing & computer science | Artificial Intelligence | Human brain | Model-driven engineering | Neurorobotics | Electrical and Electronic Engineering
    • ddc: ddc:004

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 a... View more
  • References (30)
    30 references, page 1 of 3

    1. Atkinson, C., Gerbig, R., Markert, K., Zrianina, M., Egurnov, A., Kajzar, F.: Towards a Deep, Domain Specific Modeling Framework for Robot Applications. In: Assmann, U., Wagner, G. (eds.) Proceedings of the 1st International Workshop on Model-Driven Robot Software Engineering (MORSE), no. 1319 in CEUR Workshop Proceedings, 1-12. Aachen (2014). http://ceur-ws. org/Vol-1319/

    2. Bihlmaier, A., Wo¨rn, H.: Robot Unit Testing. In: Simulation, Modeling, and Programming for Autonomous Robots, pp. 255-266. Springer (2014)

    3. Bishop, C.M.: Neural networks for pattern recognition. Oxford University Press, Oxford (1995)

    4. Bordignon, M., Schultz, U.P., Stoy, K.: Model-based Kinematics Generation for Modular Mechatronic Toolkits. SIGPLAN Not. 46(2), 157-166 (2010). doi:10.1145/1942788.1868318

    5. Braitenberg, V.: Vehicles: Experiments in synthetic psychology MIT press (1986)

    6. Davison, A.P., Bru¨derle, D., Eppler, J.M., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L., Yger, P.: Pynn: a common interface for neuronal network simulators. Front. Neuroinformatics 2(11) (2009). doi:10.3389/neuro.11.011.2008, http://www.frontiersin. org/neuroinformatics/10.3389/neuro.11.011.2008/abstract

    7. Davison, A.P., Hines, M.L., Muller, E.: Trends in programming languages for neuroscience simulations. Front. Neurosci. 3(3), 374 (2009)

    8. Di Ruscio, D., Malavolta, I., Pelliccione, P.: A Family of Domain-Specific Languages for Specifying Civilian Missions of Multi-Robot Systems. In: First Workshop on Model-Driven Robot Software Engineering-MORSE (2014)

    9. Fowler, M.: Domain-specific languages Pearson Education (2010)

    10. Frigerio, M., Buchli, J., Caldwell, D.G.: A Domain Specific Language for kinematic models and fast implementations of robot dynamics algorithms (2013)

  • Related Research Results (1)
  • Related Organizations (2)
  • Metrics
Share - Bookmark