Robot Dream
This addresses the challenge of integrating emotional intelligence into robotics for autonomous systems, though it appears incremental as it builds on existing neural network and rule-based methods.
The paper tackles the problem of implementing neurobiologically plausible emotional reactions and behaviors in real-time autonomous robotic systems by proposing a novel approach based on 'day' and 'night' phases, where real-time rule-based control alternates with offline neural network updates, but no concrete results or numbers are provided.
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.