Robotic automation for smart manufacturing processes

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With the advent of Industry 4.0, industrial robots are the critical elements of advanced manufacturing. They provide the benefits of space flexibility, long reach, multiple degrees of freedom, and the ability to quickly complete repetitive tasks at a low cost. Manufacturing industries for shipping, automotive, aerospace, and oil and gas have begun to use robots to load and unload, deliver, and assemble parts. By collaborating with Computer Numerical Control machines and humans, robots can improve efficiency in manufacturing and assembling. The goal of this partnership with GN Corporation (GNC) is the development of a smart robotic platform to automate manufacturing processes for gluing and assembling ceramic components with magnesium cylinders and drilling parts. The novelties lie in technologies to develop a robot's optimal tool path generations, motor control, artificial intelligence-based machine vision inspection, sensory system, and drilling chatter stability. The first potential outcome will be an optimal trajectory generation algorithm to minimize the robot's residual vibration with a sufficient speed. The second potential outcome will be a pneumatic assembly system designed by using a force sensor for the assembly. The third potential outcome will be machine vision algorithm inherent deep learning technology for part alignment and inspection. The last outcome will be optimal machining parameters to avoid drilling chatter. This project will train HQP in robotics, manufacturing, and mechatronics for Canada's future industries. The goal can be achieved through the efforts of technology development, close interactions with GNC, and technology transfers. The completeness of this project will help explore future commercialization paths. The technology transfer of the proposed research will accelerate automation in manufacturing industries in Alberta and Canada, making efficient use of manpower and improving output.