Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks
Author:
Affiliation:
1. University of Southern California Center for Advanced Manufacturing, , Los Angeles, CA 90007
2. University of Southern California Center for Advanced Manufacturing, , Los Angeles, CA 90007 ,
Abstract
Funder
Directorate for Engineering
Publisher
ASME International
Subject
Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software
Link
https://asmedigitalcollection.asme.org/computingengineering/article-pdf/24/2/021008/7049083/jcise_24_2_021008.pdf
Reference46 articles.
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4. A Multi-Bead Overlapping Model for Robotic Wire and Arc Additive Manufacturing (WAAM);Ding;Rob. Computer-Integrated Manuf.,2015
5. Towards an Automated Robotic Arc-Welding-Based Additive Manufacturing System From CAD to Finished Part;Ding;Computer-Aided Design,2016
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