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Performance Evaluation of Robotic Knowledge Representation (PERK)

Published

Author(s)

Craig I. Schlenoff, Sebti Foufou, Stephen B. Balakirsky

Abstract

In this paper, we explore some ways in which symbolic knowledge representations have been evaluated in the past and provide some thoughts on what should be considered when applying and evaluating these types of knowledge representations for real-time robotics applications. The emphasis of this paper is that the robotic applications require real-time access to information, which has not been one of the aspects measured in traditional symbolic representation evaluation approaches.
Proceedings Title
2012 Performance Metrics for Intelligent Systems Workshop
Conference Dates
March 20-22, 2012
Conference Location
College Park, MD

Keywords

Robotics, knowledge representation, performance metrics, real-time, ontologies

Citation

Schlenoff, C. , Foufou, S. and Balakirsky, S. (2012), Performance Evaluation of Robotic Knowledge Representation (PERK), 2012 Performance Metrics for Intelligent Systems Workshop, College Park, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=910808 (Accessed April 24, 2024)
Created March 22, 2012, Updated February 19, 2017