Abstract
The ability of a Central Pattern Generator to adapt its activity to the mechanical response of the robot is essential for robust autonomous locomotion in unknown environments. In previous works we have introduced a new oscillator model for locomotion in modular robots. In this paper, we study the ability of our oscillator model to entrain a servo. For a given configuration of the oscillator, we simulate different servos with different responsiveness, ranging from very slow to very fast servos. The result is that our oscillator adapts its frequency of oscillation to the responsiveness of the servo up to several orders of magnitude, without changing the parameters of the oscillator itself.
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References
Destexhe, A., Mainen, Z.F., Sejnowski, T.J.: An efficient method for computing synaptic conductances based on a kinetic model of receptor binding. Neural Computation 6(1), 14–18 (1994)
Herrero-Carrón, F., Rodríguez, F.B., Varona, P.: Dynamical invariants for CPG control in autonomous robots. In: Filipe, J., Cetto, J.A., Ferrier, J.L. (eds.) 7th International Conference on Informatics in Control, Automation and Robotics, Funchal, Portugal, June 2010, vol. 2, pp. 441–445 (2010)
Herrero-Carrón, F., Rodríguez, F.B., Varona, P.: Novel modular CPG topologies for modular robotics. In: IEEE 2010 International Conference on Robotics and Automation workshop ”Modular Robots: The State of the Art”, pp. 89–93. IEEE, Los Alamitos (2010)
Herrero-Carrón, F., Rodríguez, F.B., Varona, P.: Studying robustness against noise in oscillators for robot control. In: International conference on automation, robotics and control systems, Orlando, USA, pp. 58–63 (July 2010)
Herrero-Carrón, F., Rodríguez, F.B., Varona, P.: Bio-inspired design strategies for central pattern generator control in modular robotics. Bioinspiration & Biomimetics 6(1), 016006+ (2011)
Huerta, R., Varona, P., Rabinovich, M.I., Abarbanel, H.D.: Topology selection by chaotic neurons of a pyloric central pattern generator. Biological Cybernetics 84(1), L1–L8 (2001)
Ijspeert, A.: Central pattern generators for locomotion control in animals and robots: A review. Neural Networks 21(4), 642–653 (2008)
Latorre, R., Rodríguez, F.B., Varona, P.: Neural signatures: multiple coding in spiking-bursting cells. Biological Cybernetics 95(2), 169–183 (2006)
Marder, E., Bucher, D.: Understanding circuit dynamics using the stomatogastric nervous system of lobsters and crabs. Annual Review of Physiology 69(1), 291–316 (2007)
Rabinovich, M.I., Varona, P., Selverston, A.I., Abarbanel, H.D.I.: Dynamical principles in neuroscience. Reviews of Modern Physics 78(4), 1213–1265 (2006)
Reyes, M., Huerta, R., Rabinovich, M., Selverston, A.: Artificial synaptic modification reveals a dynamical invariant in the pyloric CPG. European Journal of Applied Physiology 102(6), 667–675 (2008)
Rulkov, N.F.: Modeling of spiking-bursting neural behavior using two-dimensional map. Physical Review E 65(4), 041922+ (2002)
Selverston, A.I., Rabinovich, M.I., Abarbanel, H.D.I., Elson, R., Szucs, A., Pinto, R.D., Huerta, R., Varona, P.: Reliable circuits from irregular neurons: A dynamical approach to understanding central pattern generators. Journal of Physiology-Paris 94(5-6), 357–374 (2000)
Szucs, A., Pinto, R.D., Rabinovich, M.I., Abarbanel, H.D., Selverston, A.I.: Synaptic modulation of the interspike interval signatures of bursting pyloric neurons. Journal of Neurophysiology 89(3), 1363–1377 (2003)
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Herrero-Carrón, F., Rodríguez, F.B., Varona, P. (2011). Flexible Entrainment in a Bio-inspired Modular Oscillator for Modular Robot Locomotion. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21498-1_67
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DOI: https://doi.org/10.1007/978-3-642-21498-1_67
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