We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

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

Formal Metadata

Title
Traversing unknown foyer and cluttered environments with Artificial Neural Networks/Context matching
Author
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.
Identifiers
Publisher
Release Date
Language
Production Year2011
Production PlaceDortmund

Content Metadata

Subject Area
Genre
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