Robot Dream
Alexander Tchitchigin, Max Talanov, Larisa Safina, Manuel Mazzara

TL;DR
This paper proposes a neurobiologically inspired framework for autonomous robots that alternates between real-time rule-based control during the day and neural network updates during the night, enhancing emotional and behavioral capabilities.
Contribution
It introduces a novel 'day/night' cycle model for robotic systems, integrating real-time control with neural network updates inspired by mammalian life phases.
Findings
Framework enables real-time responsiveness and neural adaptation.
Supports realistic emotional and behavioral strategies.
Facilitates neurobiologically plausible robot behavior.
Abstract
In this position paper we present a novel approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and "night" phases of mammalian life. During the "day" phase a robotic system stores the inbound information and is controlled by a light-weight rule-based system in real time. In contrast to that, during the "night" phase the stored information is been transferred to the supercomputing system to update the realistic neural network: emotional and behavioral strategies.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · Evolutionary Algorithms and Applications · Psychiatry, Mental Health, Neuroscience
