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Machine learning / Self-organizing map / Robotics / Artificial neural network / Occupancy grid mapping / Control theory / Perception / Cognitive robotics / Neural networks / Science / Knowledge


Presented at the AAAI-2001 Spring Symposium on Learning Grounded Representations. Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost and Patrick Beeson and Benjamin J. Kuiper
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Document Date: 2005-07-19 16:04:20


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File Size: 242,15 KB

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City

Brussels / Byun / Los Altos / /

Company

Robotic Systems / Tivoli Corporation / Artificial Neural Networks / Autonomous Systems / Artificial Intelligence Laboratory / /

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Facility

University of Texas / Artificial Intelligence Laboratory / Benjamin J. Kuipers Artificial Intelligence Laboratory The University of Texas / Taylor Hall / The University of Texas / /

IndustryTerm

landmark recognition systems / self-organizing networks / possible solutions / self-organizing neural networks / search space / landmark-based recognition systems / learning algorithm / /

MarketIndex

set 10 / /

Organization

Intelligent Robotics Lab / University of Texas at Austin / National Science Foundation / /

Person

Morgan Kaufmann / Jefferson Provost / Patrick Beeson / /

Product

SOMs / /

ProvinceOrState

Texas / Y. T. / /

Technology

SOM learning algorithm / laser / artificial intelligence / /

URL

http /

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