3M Innovative Properties Company

Sarah M Mullins

Brett R Hemes

Mark W Orlando

Gilles J Benoit

Brian E Brooks

Aaron K Nienaber

Nicholas A Johnson

Jon A Kirschhoffer

Glenn E Casner

Maureen Ann Kavanagh

Steven P Floeder

Frederick J Arsenault

Himanshu Nayar

Peter O Olson

Tyler W Olson

Jonathan B Arthur

Thomas J Strey

Patrick G Zimmerman

Nathan J Herbst

Christopher M Brown

Timothy J Clemens

Jeffrey P Adolf

Lori A Sjolund

Juan A Munoz

Andreas Backes

Gregory P Moriarty

Peter J Schneider

Miaoding Dai

Carter C Hughes

Cory D Sauer

Nicholas D Richardson

Matthew H Purdin

Zachary M Schaeffer

Scott L Barnett

A method and associated system provides automated abrasive paint repair using automated abrasive paint repair devices that selectively sand, buff, and polish a substrate in response to received instructions generated by a controller. The controller receives coordinates of each identified defect in the substrate along with parameters describing characteristics of each defect, selects a sanding process, a buffing process, and/or a polishing process based on empirically derived rules established by skilled/expert human operators and the received parameters. The controller outputs instructions to cause the automated abrasive paint repair devices to execute the selected sanding process, buffing process, and/or polishing process using the received parameters. The empirically derived rules and parameters may be stored in a lookup table and/or updated by a machine learning module.

Paint repair process by scenario

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a product. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a product, based on a causal model that measures causal relationships between input settings and a measure of a quality of the product; ii) determining the measure of the quality of the product manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the product manufactured using the configuration of input settings, the causal model.

Manufacturing a product using causal models

Growing community of inventors

Saint Paul, MN, United States of America

Sarah M Mullins