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Economic Prospects for Mobile Robotic Systems, New Modular Components

  • N. J. Heyes
  • H. A. Warren
Conference paper

Abstract

The paper for the third year task focuses on new modular components. This year concludes by summarizing the two previous year’s by bringing together the results of CLAWAR WP6 and includes other work packages to formulate the specifications for new modular components that can be commercially exploited for multi-role applications.

In year 1, a generic approach was adopted to explore new activities in sectors already exploiting robotic technologies such as the nuclear, construction and automotive industries. Tasks were split into sub-sections with specific activities to assess applications and the risks involved in their exploitation. Levels of economic viability were investigated and recommendations made in order to focus on the future development of new products. We aimed to identify end users at an early stage to maximize the benefits for users and stakeholders.

In year 2, we addressed the key missing ingredients for the absence of a mass market in mobile robotic systems. We took ideas for new market areas and considered the risk and exploitation issues for volume mobile robotics. CLAWAR members gathered information on the current status of mobile robotics markets and attempted to identify areas (from their own expertise) where rules and regulations were required. We encouraged dialogue between different bodies and organizations to aid the development of guidelines. We assessed generic concerns on the introduction of new robotic markets in order to speed up the widespread acceptance of mobile robotic systems.

This year, we have investigated the level of new modular components that are feasible in a selected market. The process is designed to provide an outline formula to define specifications required for new modular components that can be commercially exploited in the future.

Keywords

Work Package Machine Directive Exploitation Issue Mass Market Economic Prospect 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    International Federation of Robotics World 2004 robotics statistical report and analysis, United Nations publication, ISBN 92-1-101084-5, ISSN 1020-1076.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • N. J. Heyes
    • 1
  • H. A. Warren
    • 1
  1. 1.QinetiQ PlcHants

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