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A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics
Cristian Axenie1, Christoph Richter2, Jörg Conradt3
1Neuroscientific System Theory Group, Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstrasse 21, Munich 80333, Germany. cristian.axenie@tum.de.
This study introduces a novel sensory processing architecture, inspired by the mammalian cortex, for robust multisensory fusion in robotic systems. The framework autonomously learns and combines diverse sensory streams into a coherent representation, enhancing adaptability.
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2026-06-19T13:37:36.522788+00:00
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