Home /Research /Crossmodal lifelong learning in hybrid neural embodied architectures
PERCEPTION

Crossmodal lifelong learning in hybrid neural embodied architectures

Stefan Wermter, Sascha Griffiths, Stefan Heinrich

Year
2017
Citations
3

Abstract

Lake et al. point out that grounding learning in general principles of embodied perception and social cognition is the next step in advancing artificial intelligent machines. We suggest it is necessary to go further and consider lifelong learning, which includes developmental learning, focused on embodiment as applied in developmental robotics and neurorobotics, and crossmodal learning that facilitates integrating multiple senses.

Keywords

CrossmodalEmbodied cognitionLifelong learningCognitive sciencePerceptionComputer scienceDevelopmental roboticsCognitionCognitive roboticsPsychology

Related papers

Browse all PERCEPTION papers