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Deep ART Model for Robot Memory Tasks by khangtruongminh.work is a document available to read on EtoBox.

This paper introduces a novel Deep ART neural model designed for episodic memory in robots, enabling them to autonomously perform tasks by storing and retrieving sequences of events. The model is applied to the humanoid robot Mybot, which performs various home service tasks like arranging toys and making cereal. The Deep ART model improves upon previous models by allowing for robust retrieval of tasks from partial input cues and adapting memory structure dynamically.

Author
khangtruongminh.work
Language
EN