ROFeb 26, 2016
Associative Memories and Human-Robot Social Interaction
arXiv:1602.08158v12.1
Originality Synthesis-oriented
AI Analysis
This is an incremental approach for robotics researchers focusing on improving human-robot interaction through cognitive architectures.
The paper tackles efficient action selection in mobile robots by proposing a cognitive architecture based on unsupervised clustering (Kohonen Self-Organizing Map), and it discusses how this architecture facilitates human-robot social interactions.
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.