Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching

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Video in TIB AV-Portal: Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching

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Title
Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date
2011
Language
Silent film
Production Year
2011
Production Place
Dortmund

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Abstract
Proof of concept experiments to navigate an unknown foyer using Two level feature matching architecture. Layer 1 classifies the scenario from the shape and appearance of the environment into Corridor (C) or Open room (O) or Cluttered (L) environment. Layer 2 deploys an Artificial Neural Network specific to the classified scenario. Timeline: 0:00 Scenario: Unknown foyer with Artificial Neural Networks 0:39 Scenario: Cluttered environment with Artificial Neural Networks 1:10 Scenario: Cluttered environment with Context matching and prediction This video is the supplement to the paper: "Scenario and context specific visual robot behavior learning" presented at the 2011 IEEE International Conference on Robotics and Automation (ICRA2011), May 9-13 2011, Shanghai International Convention Center, Shanghai, China.
Keywords navigation gaussian mixture model learning from demonstration visual behaviors obstacle avoidance homing
Computer animation
Computer animation
Computer animation
Computer animation
Computer animation
Computer animation
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Porcelain Computer animation
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