Quantification of line tracking solutions for automotive applications

Authors:
Jane Shi;Rick F. Rourke;Dave Groll;Peter W. Tavora
Affiliations:
GM R&D Center, Warren, MI;GM Manufacturing Engineering, Warren, MI;GM Manufacturing Engineering, Warren, MI;GM Manufacturing Engineering, Warren, MI
Venue:
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Year:
2008

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Abstract

Unlike line tracking in automotive painting applications, line tracking for automotive general assembly applications requires position tracking in order to perform assembly operations to a required assembly tolerance. Line tracking quantification experiments have been conducted for a total of 16 test cases for two line tracking scenarios with three types of line tracking solutions: encoder based tracking, encoder plus static vision based tracking, and the analog sensor-based tracking for general assembly robotic automation. This paper presents the quantification results and identifies two key performance drivers fro line tracking for automotive assembly applications.