Title: A self-learning automaton with variable resolution for high precision assembly by industrial robots
Authors: Simons, Jos
Van Brussel, Hendrik
De Schutter, Joris
Verhaert, J #
Issue Date: 1982
Publisher: IEEE-Inst Electrical Electronics Engineering INC
Series Title: IEEE Transactions on Automatic Control vol:27 issue:5 pages:1109-1113
Abstract: This paper reports on the use of the stochastic automaton theory to configure control algorithms for high precision assembly operations performed with a force-sensing robot. The basic principle of the stochastic automation, i.e., its variable structure, has been extended to the dimensionality of the automaton by gradually optimizing the resolution of the input variables.
ISSN: 0018-9286
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science