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Proceedings Paper

Design and development of a family of explosive ordnance disposal (EOD) robots
Author(s): Karl Reichard; Tim Simpson; Chris Rogan; John Merenich; Sean Brennan; Ed Crow
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Paper Abstract

Across many consumer product industries, the prevailing practice is to design families of product variants that exploit commonality to provide the ability to easily customize a base platform for particular uses and to take advantage of commonality for streamlining design, manufacturing, maintenance and logistic; examples include Black & Decker, Seagate, and Volkswagen. This paper describes the application of product family concepts to the design and development of a family of robots to satisfy requirements for explosive ordnance disposal. To facilitate this process, we have developed a market segmentation grid that plots the desired capabilities and cost versus the target use cases. The product family design trade space is presented using a multi-dimensional trade space visualization tool which helps identify dependencies between different design variables and identify Pareto frontiers along which optimal design choices will lie. The EOD robot product family designs share common components and subsystems yet are modularized and scalable to provide functionality to satisfy a range of user requirements. This approach has been shown to significantly reduce development time and costs, manufacturing costs, maintenance and spare parts inventory, and operator and maintainer training.

Paper Details

Date Published: 16 October 2008
PDF: 12 pages
Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 711212 (16 October 2008); doi: 10.1117/12.802606
Show Author Affiliations
Karl Reichard, The Pennsylvania State Univ. (United States)
Tim Simpson, The Pennsylvania State Univ. (United States)
Chris Rogan, The Pennsylvania State Univ. (United States)
John Merenich, The Pennsylvania State Univ. (United States)
Sean Brennan, The Pennsylvania State Univ. (United States)
Ed Crow, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 7112:
Unmanned/Unattended Sensors and Sensor Networks V
Edward M. Carapezza, Editor(s)

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