Situated learning of visual robotic behaviors

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.


For more information please visit: http://www.rst.e-technik.tu-dortmund.de/cms/en/research/robotics/Learning_fro...

The Institute of Control Theory and Systems Engineering (RST) at TU Dortmund is engaged in fundamental research in the fields of robotics and computational intelligence. Furthermore the applied research focus is automotive systems and mechatronics.
http://www.rst.e-technik.tu-dortmund.de

Category:

Science & Technology

Tags:

• RST
• TUDortmund
• Robotics
• Artificial Neural Networks
• Mobile Robotics
• Learning from Demonstration
• Visual Navigation
• ICIRA2011 Situated learning
• Behavior based robotics
• Scenario Classification