Manipulation of Pose Distributions

Abstract

For assembly tasks parts often have to be oriented before they can he put in an assembly. The results presented in this report are a component of the automated design of parts orienting devices. The focus is an orienting parts with minimal sensing and manipulation. We present a new approach to parts orienting through the manipulation of pose distributions. Through dynamic simulation we can determine the pose distribution for an object being dropped from an arbitrary height onto an arbitrary surface. By varying the drop height and the shape of the support surface we can find the initial conditions that will result in a pose distribution with minimal entropy. We are trying to uniquely orient a part with high probability just by varying the initial conditions. We will dervice a condition on the pose and velocity of an object in contact with a sloped surface that will allow us to quickly determine the final resting configuration of the object. This condition can then be used to quickly compute the pose distribution. We also present simulation and experimental results that show how dynamic simulation can be used to find optimal shapes and drop heights for a given part.

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Document Details

Document Type
Technical Report
Publication Date
Mar 13, 2000
Accession Number
ADA376871

Entities

People

  • Mark Moll
  • Michael A. Erdmann

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Applied Mechanics
  • Artificial Intelligence
  • Computer Science
  • Differential Equations
  • Equations
  • Geometry
  • High Energy
  • Kinetic Energy
  • Manufacturing
  • Mechanical Engineering
  • Probability
  • Simulations
  • Simulators
  • Three Dimensional
  • Two Dimensional

Readers

  • Mathematical Modeling and Probability Theory.
  • Robotics and Automation.
  • Systems Analysis and Design