info:eu-repo/semantics/article
Phase oscillator neural network as artificial central pattern generator for robots
Registro en:
Kaluza, Pablo Federico; Cioacă, Teodor; Phase oscillator neural network as artificial central pattern generator for robots; Elsevier Science; Neurocomputing; 97; 11-2012; 115-124
0925-2312
CONICET Digital
CONICET
Autor
Kaluza, Pablo Federico
Cioacă, Teodor
Resumen
We design an artificial central pattern generator and we exemplify its integration using different prototypic virtual robot models. The artificial central pattern generator is modeled through a network of phase oscillators. Virtual robots are controlled by this central pattern generator using an interface that interpolates stored angular states of their target poses. Finally, we consider control signals coming from the robot's environment to the central pattern generator and to the interface between the central pattern generator and the robot. We show that the control signals can change the dynamics of the system in order to modify the robot's movement patterns. We study three cases: changing the frequency of the pattern sequences, switching between gaits of locomotion and the reorientation of a robotic entity. Fil: Kaluza, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina Fil: Cioacă, Teodor. No especifíca;