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Proceedings Paper

Equipping small robotic platforms with highly sensitive more accurate nuclear, biological, and chemical (NBC) detection systems
Author(s): Andrew J. Scott; Jose R. Mabesa; Chantelle Hughes; David J. Gorsich; Gregory W. Auner
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Paper Abstract

On the battlefield and on the home front there exists an increased Nuclear, Biological, and Chemical (NBC) threat. There has been an ongoing effort to develop methods in detecting the presence of NBC agents. The utilization of small robotic platforms equipped with NBC sensors is one way to aid in reconnaisance missions along with inspecting suspicious areas and vehicles. The U.S. Army's Omni-Directional Inspection System (ODIS) and iRobot's Packbot are two low profile robotic platforms that are being investigated by the U.S. Army TARDEC's Robotic Mobility Laboratory (TRML) to perform such tasks. There currently exists a variety of testing methods used in detecting NBC agents, which each have advantages and disadvantages. These different methods, along with their advantages and disadvantages are discussed in this paper. Traditional NBC type sensing systems are large requires a large vehicle or a trailer to be transported. To integrate these sensors into small robotic systems, they need to require less power and shrunk in size. Some commercially available products and ongoing research at government and academic laboratories are looking at improving NBC based detection systems are discussed in this paper for the integration of robotic platforms.

Paper Details

Date Published: 30 September 2003
PDF: 10 pages
Proc. SPIE 5083, Unmanned Ground Vehicle Technology V, (30 September 2003); doi: 10.1117/12.497541
Show Author Affiliations
Andrew J. Scott, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Jose R. Mabesa, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Chantelle Hughes, Wayne State Univ. (United States)
David J. Gorsich, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Gregory W. Auner, Wayne State Univ. (United States)

Published in SPIE Proceedings Vol. 5083:
Unmanned Ground Vehicle Technology V
Grant R. Gerhart; Charles M. Shoemaker; Douglas W. Gage, Editor(s)

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