Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Automating Robot Planning using Product and Manufacturing Information

Published

Author(s)

Frederick M. Proctor, Gijs van der Hoorn, Robert R. Lipman

Abstract

Advances in sensing, modeling, and control have made it possible to increase the accuracy of robots, and enable them to perform in dynamic environments. Often, performance deficiencies are not evident until late in the development of the manufacturing process, which delays the beginning of production and may cause damage to parts that have already undergone costly manufacturing steps. The goal of this research is to determine if a robot can meet manufacturing requirements, how to optimally plan robot activities, and to monitor robot processes to track performance. To achieve this, representations of product and manufacturing information and robot capabilities should be carried through the design, process planning, production, and analysis phases. Standards for the exchange of this information have been developed, such as ISO 10303 Part 242 for semantic product and manufacturing information and device kinematics, and the Robot Operating System Industrial specification for robot modeling, path planning, and execution. This paper surveys the relevant technologies and standards needed to enable automated deployment of robots in new application areas.
Proceedings Title
14th CIRP Computer-Aided Tolerancing Conference
Volume
43
Conference Dates
May 18-19, 2016
Conference Location
Gothenberg

Keywords

robotics, assembly, product and manufacturing information, tolerances, path planning, process planning

Citation

Proctor, F. , van, G. and Lipman, R. (2016), Automating Robot Planning using Product and Manufacturing Information, 14th CIRP Computer-Aided Tolerancing Conference, Gothenberg, -1, [online], https://doi.org/10.1016/j.procir.2016.02.139 (Accessed December 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 9, 2016, Updated November 10, 2018