Real time adaptive robot control and data management in an artificial intelligence driven powder coating process

Today, the manufacturing industry is facing a very rapid revolution. The end users of products can order at any time, in any quantity and always with very short delivery times. The shopping digitalization dramatically changes the consumption landscape in a global competition environment. Consequently, the industry is forced to adapt the way they are producing. On demand production and customisation of products in a small quantity is now the new standard.
In addition to this phenomenon, the scarcity of the labor, increases the difficulty to recruit the requested highly qualified workforce to execute the operations to produce very diversified parts under low volumes.
To address this challenge, this project, which is one of three sub-projects in the frame of developing autonomous robot to perform a high diversity of low-repetitive tasks, will develop the control of a robotic arm to paint different patterns along with the automated data pipelines to gather and organise the parameters for continuous improvement and exchange of information between the various systems.

Faculty Supervisor:

Rolf Wüthrich

Student:

Partner:

Festo Didactic Ltd;Technologies NeurobotIA

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program: