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RODEO: Roll-Over Detection for Equipment-transporter Operation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-19-C-0006
Agency Tracking Number: A18B-025-0238
Amount: $149,894.12
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T025
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-04-09
Award End Date (Contract End Date): 2019-10-06
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Yoichiro Endo
 Associate Director
 (301) 294-4621
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution
 Northwestern University
 Dr. Kevin Lynch Dr. Kevin Lynch
Office for Sponsored Research, Northwestern University 1801 Maple Ave., Suite 2410
Evanston, IL 60201
United States

 (847) 467-5451
 Nonprofit College or University

To gain tactical advantages over adversaries in dismounted operations, infantrymen are often required to carry heavy loads on themselves. However, enduring a long distance walk while carrying a heavy march load is notorious for quickly exhausting the Solider, which consequently impedes the OPTEMPO of the troop. Addressing this problem, the Army is seeking a robust unmanned ground vehicle that can transport 1,000 pounds of the Soldier loads on rough terrains under the SMET program. Our proposed system called RODEO is a modular add-on feature for a SMET vehicle that can predict its future over-turn when it is tele-operated, and forewarn the operator, so that a preventive action can be taken in time. RODEO accomplishes the forewarning of a vehicle over-turn through a probabilistic method, and provides the operator with the situational awareness of the vehicular state through the OCU. The advantages of RODEO are its intuitiveness, interoperability, and inexpensiveness. In Phase I, a feasibility analysis through proof-of-concept testing/demonstration will be performed.

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

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