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Perception-driven Casualty Manipulation to Enable Near-Autonomous Robotic Extraction and Evacuation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-11-C-0012
Agency Tracking Number: A10A-028-0048
Amount: $99,385.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A10A-T028
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-10-27
Award End Date (Contract End Date): 2011-05-31
Small Business Information
1660 McElree Rd.
Washington, PA 15301
United States
DUNS: 133130752
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Omead Amidi
 (412) 260-2625
Business Contact
 Todd Jochem
Title: CEO
Phone: (724) 272-2709
Research Institution
 Carnegie Mellon University
 Joseph Sullivan
Robotics Institute 5000 Forbes Avenue
Pittsburgh, PA 15213
United States

 (412) 268-1161
 Nonprofit College or University

Historically, the combat medic has had one of the most important yet life-threatening roles on the battlefield. They must find, assess, treat and extract fellow injured soldiers in extremely hazardous conditions, sometimes with little or no additional support. Because of this, medics and other first responders are often injured or even killed while attending to wounded soldiers. To properly address the problem of Robotic Combat Casualty Extraction, the team of SkEyes Unlimited Corporation and Carnegie Mellon University believes that a fundamentally new, patient-centric approach needs to be pursued. Namely, that robust sensor/perception-driven casualty assessment and manipulation is the key to successful development and deployment of a complete Robotic Combat Casualty Care system. For this STTR, we propose to use perception sensors and algorithms to accurately model casualty pose and status, and to couple those technologies with robust, yet compliant manipulators, to enable near-autonomous manipulation and handling of wounded soldiers throughout the spectrum of treatment–-from field assessment of injuries to final evacuation to primary care facilities. This extraction system will be Joint Architecture for Unmanned Systems (JAUS) compliant and will be interoperable with current and future DoD unmanned platforms.

* Information listed above is at the time of submission. *

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