Learning to Interact with the Caretaker: A Developmental Approach

To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachment bonds to humans and use them to build their own model of the world is a promising avenue, not only to improve human-robot interaction and adaptation to the environment, but also as a way to develop further cognitive and emotional capabilities. In this paper we present a neural architecture to enable a robot to develop an attachment bond with a person or an object, and to discover the correct sensorimotor associations to maintain a desired affective state of well-being using a minimum amount of prior knowledge about the possible interactions with this object.

• Type: Conference
• Year: 2007
• Where: ACII
• Authors: Antoine Hiolle, Lola Cañamero, Arnaud J. Blanchard
• Keywords: ACII 2007, Applied Computing, Architectures Permitting Robots, Attachment Bond, Autonomous Robots