RT journal article
T1 Neuromorphic adaptive spiking CPG towards bio-inspired locomotion
A1 López Osorio, Pablo
A1 Patiño-Saucedo, Alberto
A1 Domínguez Morales, Juan P.
A1 Rostro-Gonzalez, Horacio
A1 Pérez Peña, Fernando
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Neurorobotics
K1 SpiNNaker
K1 Central pattern generator
K1 Spiking neural network
K1 Neuromorphic hardware
K1 Adaptive-learning
AB In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in the performance of robotic systems. These mechanisms include the adaptability of their locomotion to any change registered in the environment through their biological sensors. In this regard, we aim to replicate such kind of adaptability through a sCPG. This sCPG generates different locomotion (rhythmic) patterns which are driven by an external stimulus, that is, the output of a FSR sensor to provide feedback. The sCPG consists of a network of five populations of LIF neurons designed with a specific topology in such a way that the rhythmic patterns can be generated and driven by the aforementioned external stimulus. Therefore, eventually, the locomotion of an end robotic platform could be adapted to the terrain by using any sensor as input. The sCPG with adaptation has been numerically validated at software and hardware level, using the Brian 2 simulator and the SpiNNaker neuromorphic platform for the latest. In particular, our experiments clearly show an adaptation in the oscillation frequencies between the spikes produced in the populations of the sCPG while the input stimulus varies. To validate the robustness and adaptability of the sCPG, we have performed several tests by variating the output of the sensor. These experiments were carried out in Brian 2 and SpiNNaker; both implementations showed a similar behavior with a Pearson correlation coefficient of 0.905. © 2022 The Author(s)
PB ELSEVIER
SN 1872-8286
YR 2022
FD 2022-09
LK http://hdl.handle.net/10498/27351
UL http://hdl.handle.net/10498/27351
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-may-2026