A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks
Dailin Marrero,
John Kern,
Claudio Urrea
Abstract:This paper investigates spiking neural networks (SNN) for novel robotic controllers with the aim of improving accuracy in trajectory tracking. By emulating the operation of the human brain through the incorporation of temporal coding mechanisms, SNN offer greater adaptability and efficiency in information processing, providing significant advantages in the representation of temporal information in robotic arm control compared to conventional neural networks. Exploring specific implementations of SNN in robot c… Show more
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