/Place Recognition and Topological Map Learning in a Virtual Cognitive Robot

Place Recognition and Topological Map Learning in a Virtual Cognitive Robot

Paul R. Smart and Katia Sycara
Conference Paper, The 2015 International Conference on Artificial Intelligence, July, 2015

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Abstract

An ACT-R cognitive model is used to control the spatial behavior of a virtual robot that is embedded in a three-dimensional virtual environment, implemented using the Unity game engine. The environment features a simple maze that the robot is required to navigate. Communication between ACT-R and Unity is established using a networkbased inter-operability framework. The ability of the robot to learn about the spatial structure of its environment and navigate to designated goal locations serves as a test of the ability of the framework to support the integrative use of cognitive architectures and virtual environments in a range of research and development contexts.

BibTeX Reference
@conference{Smart-2015-6004,
author = {Paul R. Smart and Katia Sycara},
title = {Place Recognition and Topological Map Learning in a Virtual Cognitive Robot},
booktitle = {The 2015 International Conference on Artificial Intelligence},
year = {2015},
month = {July},
}
2017-09-13T10:38:37+00:00