LATIDIA · Robótica

Hacia una navegación visual bioinspirada: un paradigma de navegación neuromórfica para MAV

arXiv:2610.21978v1 Anuncio Tipo: nuevo Resumen: La navegación visual biológica logra una notable robustez con un consumo de energía extremadamente bajo, mientras que los sistemas robóticos basados ​​en marcos que dependen de redes neuronales artificiales siguen siendo limitados.

La noticia

arXiv:2610.21978v1 Announce Type: new Abstract: Biological visual navigation achieves remarkable robustness at extremely low power, whereas frame-based robotic systems relying on artificial neural networks remain limited in both respects, particularly for energy-constrained micro aerial vehicles (MAVs) operating in complex environments. Inspired by the event-driven, sparse, and asynchronous principles of biological visual systems, neuromorphic sensing and computation provide a promising alternative for robust and energy-efficient navigation. In this paper, we propose the first end-to-end event-driven neuromorphic paradigm for MAV visual navigation in complex environments by integrating neuromorphic vision, spiking neural networks, and neuromorphic processors. The proposed method first extracts the environmental representation from event streams using a spiking perceptual representation module.