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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
Author Narayanan, Krishna Kumar
Posada, Luis-Felipe
Hoffmann, Frank
Bertram, Torsten
License 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.
DOI 10.5446/15423
Publisher TU Dortmund, Lehrstuhl für Regelungssystemtechnik
Release Date 2011
Language Silent film
Production Year 2011
Production Place Dortmund

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Subject Area Engineering
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
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AV-Portal 3.8.0 (dec2fe8b0ce2e718d55d6f23ab68f0b2424a1f3f)