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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.
Lyle N. Long,Scott D. Hanford, andOranuj Janrathitikarn
"Cognitive robotics using vision and mapping systems with Soar", Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100J (28 April 2010); https://doi.org/10.1117/12.853684
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Lyle N. Long, Scott D. Hanford, Oranuj Janrathitikarn, "Cognitive robotics using vision and mapping systems with Soar," Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100J (28 April 2010); https://doi.org/10.1117/12.853684