Performance Evaluation of Intelligent Systems at the National Institute of Standards and Technology (NIST)

Abstract

The ability to comprehensively evaluate the quantitative and qualitative performance of an intelligent system is critical to accurately predicting how it will perform in various situations. The design of such evaluations is often as much of a research challenge as is the design of the intelligent systems themselves. Over the past decade, the Intelligent Systems Division, a part of the National Institute of Standards and Technology, has been at the forefront of assessing the performance of the various intelligent systems. This article gives a broad overview of some of the evaluation efforts that have been pursued by the Intelligent Systems Division over the past few years, including performance evaluation of emergency response robots, sensor systems on unmanned ground vehicles, speech-to-speech translation systems, and the development of performance metrics for mixed-palletizing through the use of a simulation environment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA539273

Entities

People

  • Craig Schlenoff
  • Harry Scott
  • Stephen Balakirsky

Organizations

  • National Institute of Standards and Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Automated Speech Recognition
  • Autonomous Vehicles
  • Department Of Homeland Security
  • Emergency Response
  • Engineering
  • Foreign Languages
  • Homeland Security
  • Intelligent Systems
  • Language
  • Manufacturing
  • Operating Systems
  • Search And Rescue
  • Standards
  • Test And Evaluation
  • Test Methods
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Defense Technology Research and Development.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy