A cognitive agent for searching indoor environments using a mobile robot

Scott D. Hanford, Lyle Norman Long

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Recently there has been increased interest in the use of cognitive architectures for mobile robots. In this research, a cognitive agent (developed using Soar) has been developed to perform an indoor search and rescue mission using a mobile robot. For this application, sensor processing systems such as image processing, fuzzy logic, and image matching are used to generate information about the environment. The cognitive agent described in this paper is capable of using this information about the environment to explore a building while detecting and recording the locations of common types of intersections, making decisions about where to go based on these intersections, and detecting objects of interest and recording their locations. Results are given for a test in a simple environment.

Original languageEnglish (US)
Title of host publication20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
Pages264-271
Number of pages8
StatePublished - Dec 1 2011
Event20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 - Sundance, UT, United States
Duration: Mar 21 2011Mar 24 2011

Publication series

Name20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011

Other

Other20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011
CountryUnited States
CitySundance, UT
Period3/21/113/24/11

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

Cite this

Hanford, S. D., & Long, L. N. (2011). A cognitive agent for searching indoor environments using a mobile robot. In 20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011 (pp. 264-271). (20th Annual Conference on Behavior Representation in Modeling and Simulation 2011, BRiMS 2011).