| Author(s): |
Craig I. Schlenoff; Elena R. Messina; Alan M. Lytle; Brian A. Weiss; Ann M. Virts; |
| Title: |
Test Methods and Knowledge Representation for Urban Search and Rescue Robots |
| Published: |
August 17, 2007 |
| 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: |
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 |
| Research Areas: |
Metrology and Standards for Manufacturing Systems and Data |
| PDF version: |
 Click here to retrieve PDF version of paper (8MB) |
