3D printed rapid disaster response

Alberto Lacaze; Karl Murphy; Edward Mottern; Katrina Corley; Kai-Dee Chu

doi:10.1117/12.2051420

22 May 2014 3D printed rapid disaster response

Alberto Lacaze, Karl Murphy, Edward Mottern, Katrina Corley, Kai-Dee Chu

Proceedings Volume 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII; 91180B (2014) https://doi.org/10.1117/12.2051420
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Under the Department of Homeland Security-sponsored Sensor-smart Affordable Autonomous Robotic Platforms (SAARP) project, Robotic Research, LLC is developing an affordable and adaptable method to provide disaster response robots developed with 3D printer technology. The SAARP Store contains a library of robots, a developer storefront, and a user storefront. The SAARP Store allows the user to select, print, assemble, and operate the robot. In addition to the SAARP Store, two platforms are currently being developed. They use a set of common non-printed components that will allow the later design of other platforms that share non-printed components. During disasters, new challenges are faced that require customized tools or platforms. Instead of prebuilt and prepositioned supplies, a library of validated robots will be catalogued to satisfy various challenges at the scene. 3D printing components will allow these customized tools to be deployed in a fraction of the time that would normally be required. While the current system is focused on supporting disaster response personnel, this system will be expandable to a range of customers, including domestic law enforcement, the armed services, universities, and research facilities.

Citation Download Citation

Alberto Lacaze, Karl Murphy, Edward Mottern, Katrina Corley, and Kai-Dee Chu "3D printed rapid disaster response", Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 91180B (22 May 2014); https://doi.org/10.1117/12.2051420

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KEYWORDS

Robots

Robotics

3D printing

Sensors

3D modeling

Cameras

Manufacturing

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