Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots.
This project aims at training a Neural Network (NN) to powder coat mechanical parts on smart factory’s production line. The NN will be placed in a virtual environment to learn more rapidly and efficiently. The project is separated into 2 subprojects:
1. Design and training of the NN
2. Simulation of the powder coating
This project is a milestone in intelligent robots performing complex tasks. Indeed, powder coating is among the most complex tasks that has been attempted to be taught to an industrial robot. In addition, this project will contribute to the formation of highly qualified personnel (two graduate students).

Faculty Supervisor:

Lucas Hof;Jean-Pierre Kenné;Giuseppe Di Labbio

Student:

Partner:

Cadence Automation Inc;Technologies NeurobotIA

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Wholesale trade

University:

École de technologie supérieure

Program: