A Reliability Study of a Teleoperated Robotic System with Application to the Next Generation Munitions Handling System.

Abstract

The United States Air Force is currently developing an Advanced Technology Demonstrator (ATD) for the Next Generation Munitions Handling System (NGMH). The NGMH/ATD system is being designed at Oak Ridge National Laboratory as a teleoperated robotic manipulator. In this research, a reliability model for a general telerobotic manipulator is developed including: (1) human, (2) software, (3) hardware, and (4) kinematic components. Each of these components contributes towards the reliability of the system, where reliability is defined as the probability of the end-effector of the manipulator being within a certain error bound. The model provides a comparative measure of reliability based on a combination of two underlying models. A semi-Markov model is used for the human, software, and hardware components, while the kinematic reliability estimates are obtained through a separate simulation. The reliability model developed is not intended to be a predictive model, rather to provide a means of comparing different configurations of a telerobotic system.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA323367

Entities

People

  • Matthew J. Rummer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Databases
  • Electronic Components
  • Human-Machine Systems
  • Information Science
  • Literature Surveys
  • Mathematical Models
  • Probability
  • Random Variables
  • Reliability
  • Task Performance And Analysis
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

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