Evaluating Autonomous Ground-Robots

Abstract

The robotics community benefits from common test methods and metrics of performance to focus their research. As a result, many performance tests, competitions, demonstrations and analyses have been devised to measure the autonomy, intelligence, and overall effectiveness of robots. These range from robot soccer (football) to measuring the performance of a robot in computer simulations. However, many resultant designs are narrowly focused or optimised against the specific tasks under consideration. In the Multi-Autonomous Ground-robotic International Challenge (MAGIC) 2010 the need to transition the technology beyond the laboratory and into contexts for which it had not specifically been designed or tested meant that a performance evaluation scheme was needed that avoided domain-specific tests. However, the scheme still had to retain the capacity to deliver an impartial, consistent, objective and evidence-based assessment that rewarded individual and multi-vehicle autonomy. It was also important to maximise the understanding and outcomes for technologists, sponsors and potential users gained through after-action review. The need for real-time, simultaneous and continuous tracking of multiple interacting entities in an urban environment and over 250,000 square metres in real time compounded the complexity of the task. This paper describes the scheme used to progressively down-select and finally rank the teams competing in this complex and "operationally realistic" challenge.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2012
Accession Number
ADA573984

Entities

People

  • Adam Jacoff
  • Anthony Finn
  • Bob Kania
  • Jon Bornstein
  • Mike Del Rose
  • Udam Silva

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Autonomous Navigation
  • Autonomous Vehicles
  • Autonomy
  • Cognition
  • Cognitive Workload
  • Collision Avoidance
  • Human-Robot Interaction
  • Information Exchange
  • Robots
  • Situational Awareness
  • Systems Engineering
  • Test And Evaluation
  • Test Methods
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

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