Cognitive robotics using vision and mapping systems with Soar

Lyle Norman Long, Scott D. Hanford, Oranuj Janrathitikarn

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

1 Citation (Scopus)

Abstract

The Cognitive Robotic System (CRS) has been developed to use the Soar cognitive architecture for the control of unmanned vehicles and has been tested on two heterogeneous ground robots: a six-legged robot (hexapod) and a wheeled robot. The CRS has been used to demonstrate the applicability of Soar for unmanned vehicles by using a Soar agent to control a robot to navigate to a target location in the presence of a cul-de-sac obstacle. Current work on the CRS has focused on the development of computer vision, additional sensors, and map generating systems that are capable of generating high level information from the environment that will be useful for reasoning in Soar. The scalability of Soar allows us to add more sensors and behaviors quite easily.

Original languageEnglish (US)
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2010
DOIs
StatePublished - Jul 23 2010
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 - Orlando, FL, United States
Duration: Apr 7 2010Apr 8 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7710
ISSN (Print)0277-786X

Other

OtherMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
CountryUnited States
CityOrlando, FL
Period4/7/104/8/10

Fingerprint

Cognitive Robotics
robotics
robots
Robotics
Robots
Unmanned Vehicles
Unmanned vehicles
Robot
vehicles
Hexapod
Legged Robots
Cognitive Architecture
Sensor
sensors
Sensors
computer vision
Computer Vision
Computer vision
Scalability
Reasoning

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Long, L. N., Hanford, S. D., & Janrathitikarn, O. (2010). Cognitive robotics using vision and mapping systems with Soar. In Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 [77100J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7710). https://doi.org/10.1117/12.853684
Long, Lyle Norman ; Hanford, Scott D. ; Janrathitikarn, Oranuj. / Cognitive robotics using vision and mapping systems with Soar. Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010. 2010. (Proceedings of SPIE - The International Society for Optical Engineering).
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Long, LN, Hanford, SD & Janrathitikarn, O 2010, Cognitive robotics using vision and mapping systems with Soar. in Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010., 77100J, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, Orlando, FL, United States, 4/7/10. https://doi.org/10.1117/12.853684

Cognitive robotics using vision and mapping systems with Soar. / Long, Lyle Norman; Hanford, Scott D.; Janrathitikarn, Oranuj.

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010. 2010. 77100J (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7710).

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

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Long LN, Hanford SD, Janrathitikarn O. Cognitive robotics using vision and mapping systems with Soar. In Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010. 2010. 77100J. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.853684