| Author(s): |
Craig I. Schlenoff; Elena R. Messina; |
| Title: |
A Robot Ontology for Urban Search and Rescue |
| Published: |
June 26, 2006 |
| Abstract: |
The goal of this Robot Ontology effort is to develop and begin to populate a neutral knowledge representation (the data structures) capturing relevant information about robots and their capabilities to assist in the development, testing, and certification of effective technologies for sensing, mobility, navigation, planning, integration and operator interaction within search and rescue robot systems. This knowledge representation must be flexible enough to adapt as the robot requirements evolve. As such, we have chosen to use an ontological approach to representing these requirements. This paper describes the Robot Ontology, how it fits in to the overall Urban Search and Rescue effort, how we will be proceeding in the future. |
| Conference: |
2005 CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems |
| Location: |
Bremen, GE |
| Dates: |
October 31-November 5, 2005 |
| Keywords: |
Knowledge Engineering;OWL. Protege;Robot ontoloty;Robotics & Intelligent Systems;urban search and rescue |
| Research Areas: |
Metrology and Standards for Manufacturing Systems and Data |
| PDF version: |
 Click here to retrieve PDF version of paper (1MB) |
