Optimum Pose Measurements for Kinematic Parameters Identification

Abstract

A six degree of freedom manipulator arm, a PUMA 560, is calibrated using random subsets of available experimental calibration data. Some of these subsets produce good results motivating the search for an optimum procedure which will use a small number of poses. Statistical analysis of the joint excursions and end effector position variation in both 'good' and 'bad' subsets of poses were conducted. No significant statistical differences between them was discovered. The condition number of the Jacobian matrix is investigated as a potential measure of the accuracy which may be obtained from the subset under consideration. The condition number thus obtained contained too much variability to be a reliable predictor of accuracy. A computer simulation was conducted using a numerical optimizer to select the joint angles to be used for calibration. The optimizer studies failed to find an optimum set of poses for calibration. The conclusion of these studies is that there is no optimum set of poses to be used for calibration. An alternative hypothesis, that the resultant calibration accuracy depends only upon the accuracy of the measurements taken, seems to be proven. Robotic manipulator calibration.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA256307

Entities

People

  • Ronald L. Edwards

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Calibration
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Coordinate Systems
  • Data Sets
  • Engineering
  • Manipulators
  • Mathematics
  • Measurement
  • Mechanical Engineering
  • Simulations
  • Standards
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

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