Situated learning of visual robotic behaviors

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Formal Metadata

Title
Situated learning of visual robotic behaviors
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
Publisher
TU Dortmund, Lehrstuhl für Regelungssystemtechnik
Release Date
2011
Language
Silent film
Production Year
2011
Production Place
Dortmund

Content Metadata

Subject Area
Abstract
Proof of concept experiments to learn situated behaviors using Artificial neural networks. Timeline: 0:06 Demonstration phase: Semi-automatic demonstrations 0:37 System Architecture 0:49 Features extracted 0:51 Experiment 1 1:38 Experiment 2 3:29 Experiment 3 4:47 Credits and contacts This video is the supplement to the paper: "Situated Learning of Visual Robot Behaviors", 4th International Conference on Intelligent Robotics and Applications (ICIRA 2011), Aachen, Germany.
Keywords
navigation
gaussian mixture model
learning from demonstration
visual behaviors
obstacle avoidance
homing
Computer animation
Computer animation Automatic watch Semi-trailer truck
Mat Ramjet Extraction of petroleum Merkmalsextraktion Hot isostatic pressing Hawker Aircraft Suitcase Particle board Computer animation Hinge Kiln Klassifikationsgesellschaft Mode of transport Model building
Computer animation Klassifikationsgesellschaft
Computer animation Klassifikationsgesellschaft
Computer animation Klassifikationsgesellschaft
Computer animation
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Timings

  346 ms - page object

Version

AV-Portal 3.9.2 (c7d7a940c57b22d0bc6d7f70d6f13fde2ef2d4b8)