Performance evaluation of robotic knowledge representation (PERK)

Craig Schlenoff, Stephen Balakirsky, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Workshop on Performance Metrics for Intelligent Systems, PerMIS 2012
Pages1-8
Number of pages8
DOIs
StatePublished - 2012
Event11th Workshop on Performance Metrics for Intelligent Systems, PerMIS 2012 - College Park, MD, United States
Duration: Mar 20 2012Mar 22 2012

Publication series

NamePerformance Metrics for Intelligent Systems (PerMIS) Workshop

Other

Other11th Workshop on Performance Metrics for Intelligent Systems, PerMIS 2012
CountryUnited States
CityCollege Park, MD
Period3/20/123/22/12

Keywords

  • Knowledge representation
  • Ontologies
  • Performance metrics
  • Real- Time
  • Robotics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering

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  • Cite this

    Schlenoff, C., Balakirsky, S., & Foufou, S. (2012). Performance evaluation of robotic knowledge representation (PERK). In Proceedings of the Workshop on Performance Metrics for Intelligent Systems, PerMIS 2012 (pp. 1-8). (Performance Metrics for Intelligent Systems (PerMIS) Workshop). https://doi.org/10.1145/2393091.2393093