Neuromorphic Robot Dream
This work addresses the challenge of integrating emotional intelligence into robotics for autonomous systems, but it appears incremental as it builds on existing approaches without specifying major breakthroughs.
The paper tackles the problem of implementing neurobiologically plausible emotional reactions and behaviors in real-time autonomous robotic systems by using a 'day' and 'night' phase metaphor, where the 'day phase' involves real-time rule-based control and information storage, and the 'night phase' updates neural networks for emotional and behavioral strategies using supercomputing.
In this paper we present the next step in our 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 the "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" information that has been stored is transferred to a supercomputing system to update the realistic neural network: emotional and behavioral strategies.