Robotic Painting Arm Development

ORI Grant ID
Research Area(s): Internet of Things | Funder: NSERC | Program: Engage
PI Name: Seyed-Youns Sadat-Nejad | Faculty/Department: Faculty of Applied Sciences & Technology

The industrial partner Mechatronic Diagnostics LTD is a for-profit automotive diagnostic and repair centre and is challenged in finding expert painters, as well as reducing the health hazards for its existing painters. This grant will develop an automated painting robotic system that is installable in the painting booth. The proposed solution will allow the industrial partner to perform the operation of vehicle painting in their repair shop booth in an automatic manner, which will optimize the workforce and increase the safety of staff. Humber students involved in the research project will participate in the design of the robotic placement in the booth, development of the algorithms required for automation of the process and help build and test the device prototype.