Design and development of a family of explosive ordnance disposal (EOD) robots

Karl Martin Reichard, Timothy William Simpson, Chris Rogan, John Merenich, Sean N. Brennan, Ed Crow

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Article number711212
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2008
EventUnmanned/Unattended Sensors and Sensor Networks V - Cardiff, Wales, United Kingdom
Duration: Sep 16 2008Sep 18 2008

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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