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Test Methods and Knowledge Representation for Urban Search and Rescue Robots

Published

Author(s)

Craig I. Schlenoff, Elena R. Messina, Alan M. Lytle, Brian A. Weiss, Ann M. Virts

Abstract

In this paper, we described an effort in which NIST is working with FEMA Task Force members to define performance requirements and standard test methods as well as to assess the deployment potential of robots applied to the USAR domain. This process has resulted in draft test method specification and instantiations based upon a well-defined set of robot requirements, which are currently making their way through the standardization process. This chapter also describes a set of knowledge representation effort that are underway to make it easier for responders to easily determine the best robot for the environment in which they are confronted. These knowledge representation efforts range from fairly informal, paper-based robot pocket guides which give high-level specification of robot characteristics to more formal, ontology-based representations which allow users to search for the most appropriate robot based on a more comprehensive set of the robots characteristics. A complementary effort is attempting to quantify and characterize the environment.
Citation
Test Methods and Knowledge Representation for Urban Search and Rescue Robots
Publisher Info
Climbing and Walking Robots Book To be published in a chapter in the Climbing and Walking Robots Book,

Keywords

knowledge representation, robots, test methods, Urban search and rescue

Citation

Schlenoff, C. , Messina, E. , Lytle, A. , Weiss, B. and Virts, A. (2007), Test Methods and Knowledge Representation for Urban Search and Rescue Robots, Climbing and Walking Robots Book To be published in a chapter in the Climbing and Walking Robots Book, , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823615 (Accessed October 3, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 17, 2007, Updated February 19, 2017