Associative Memories and Human-Robot Social Interaction
Gabriel J. Ferrer
TL;DR
This paper explores how a cognitive architecture using self-organizing maps can enhance human-robot social interactions by enabling efficient action selection and interaction opportunities.
Contribution
It introduces a novel application of Kohonen Self-Organizing Maps for improving human-robot interaction through efficient cognitive architecture.
Findings
Self-organizing maps facilitate human-robot interaction
The architecture improves action selection efficiency
Opportunities for social engagement are enhanced
Abstract
In this position paper, we discuss how the use of a cognitive architecture based on unsupervised clustering (the Kohonen Self-Organizing Map) enables us to meet our goals of efficient action selection in a mobile robot. This architecture provides several opportunities for human-robot interaction, and we discuss how its features facilitate these interactions.
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Taxonomy
TopicsNeural Networks and Applications · Robotics and Automated Systems · Fuzzy Logic and Control Systems