Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5128687 | Procedia Manufacturing | 2017 | 8 Pages |
Abstract
Industrial robots can be considered very repeatable machines, but they usually lack of absolute accuracy. However, high accuracy during the execution of the task is becoming a more and more critical factor in industrial manufacturing domains. For that reason, in order to fully automatize manufacturing processes, high-precision tasks usually need the integration of additional sensors to improve robot accuracy. This paper proposes an embedded, cognitive and self-learning stereo-vision system that can be used to reference the robot position with respect to the work-piece, increasing robot accuracy locally. An industrial use-case is also proposed and experimental results are presented.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Cristina Cristalli, Luca Lattanzi, Daniele Massa, Giacomo Angione,