PSA Cathedra

Analyse d'aspect automatique

Main researcher: M.A. Salichs

Peugeot_logo

Description

The PSA Peugeot Citröen collaboration goal is to build an automatic
classification and quantification system to detect the defects on the metal
panels as consequence of the stamping process. Currently, this classification
is done the direct observation of the pieces. The final goal is to obtain
a classification that is similar, as much as possible, to the one obtained
by demerit.

The complete process starts in the image adquisition from the metal panels and leads to the defect classification.

image

Our work is organized as follows:

– Step 1: Study of the objective and possibilities analysis
– Step 2: Construction of a software to analysis
pictures
– Step 3 Validation of the software?s performance
o In terms of localization and determination of the geometrical
parameters
o In terms of capability to organize detected defaults in a hierarchy and define a criterium of quality.
– Step 4: Semi industrial validation (test with a large
range of parts)
– Step 5: Industrial unfurl
– Step 6: Production use
The PSA Peugeot Citröen collaboration goal is to build an automatic
classification and quantification system to detect the defects on the metal
panels as consequence of the stamping process. Currently, this classification
is done the direct observation of the pieces. The final goal is to obtain
a classification that is similar, as much as possible, to the one obtained
by demerit.

The complete process starts in the image adquisition from the metal panels and leads to the defect classification.

image

Our work is organized as follows:

– Step 1: Study of the objective and possibilities analysis
– Step 2: Construction of a software to analysis
pictures
– Step 3 Validation of the software?s performance
o In terms of localization and determination of the geometrical
parameters
o In terms of capability to organize detected defaults in a hierarchy and define a criterium of quality.
– Step 4: Semi industrial validation (test with a large
range of parts)
– Step 5: Industrial unfurl
– Step 6: Production use

Entries:
General Path Planning Methodology for Leader-Followers based Robot Formations
International Journal of Advanced Robotic Systems. num. 64 , vol. 10 , pages: 1 – 10 , 2013
S. Garrido L. Moreno J.V. Gomez P. Lima
Planning Robot Formations with Fast Marching Square Including Uncertainty Conditions
Robotics and Autonomous Systems. num. 2 , vol. 61 , pages: 137 – 152 , 2013
J.V. Gomez A. Lumbier S. Garrido L. Moreno
Adaptive evolving strategy for dextrous robotic manipulation.
Evolving Systems, http://dx.doi.org/10.1007/s12530-013-9085-6.. , pages: 1 – 8 , 2013
D. Alvarez C. A. Arismendi S. Garrido L. Moreno
Nonholonomic Motion Planning Using the Fast Marching Square Method
International Journal of Advanced Robotic Systems. num. 56 , vol. 12 , 2015
C. A. Arismendi D. Alvarez S. Garrido L. Moreno

Entries:
Precision Grasp Planning Based on Fast Marching Square.
IEEE/RSJ 21st Mediterranean Conference on Control and Automation (MED) 2013., Platanias-Chani, Greece
J.V. Gomez D. Alvarez A. Lumbier S. Garrido L. Moreno
Kinesthetic Teaching via Fast Marching Square
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), 2012, Vila Moura, Portugal
J.V. Gomez D. Alvarez S. Garrido L. Moreno

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