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Multi-UAV Search and Rescue (SEI--Official)

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Published on Nov 6, 2013

The Group Autonomy for Mobile Systems (GAMS) project is an extension of a research project called Self-governing Mobile Adhocs with Sensors and Handhelds (SMASH) that investigated human-in-the-loop autonomy at Carnegie Mellon University. In this project, we created Android interfaces to a drone swarm that tried to autonomously search for survivors in a disaster scenario using the Parrot AR.Drone and custom GPS and thermal sensors.

The objectives of the project are to enable distributed artificial intelligence, sensor fusion, and human interaction with a swarm of devices, sensors, and robots through advanced middleware and software engineering. For more information on the project, see the various open source projects we are working on:

Multi-Agent Distributed Adaptive Resource Allocation (MADARA)
http://madara.googlecode.com

Self-governing Mobile Adhocs with Sensors and Handhelds (SMASH)
http://smash-cmu.googlecode.com

SEI blog post about the project:
http://blog.sei.cmu.edu/post.cfm/buil...

SEI podcast interview about the project:
http://www.sei.cmu.edu/podcasts/index...

Transcript:

http://sites.google.com/site/distribu...

Music Information:

Pogo - Lost: License is http://creativecommons.org/licenses/b....
Professor Kliq - Bust This Bust That Pt 1 and 2. License is http://creativecommons.org/licenses/b....

Video License Information:

This video and all related information and materials ("materials") are owned by Carnegie Mellon University. These materials are provided on an "as-is" "as available" basis without any warranties and solely for your personal viewing and use. You agree that Carnegie Mellon is not liable with respect to any materials received by you as a result of viewing the video, or using referenced websites, and/or for any consequences or the use by you of such materials. By viewing, downloading, and/or using this video and related materials, you agree that you have read and agree to our terms of use (www.sei.cmu.edu/legal/). © 2013 Carnegie Mellon University.

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