Robotic automation for smart manufacturing processes

随着工业4.0的到来，工业机器人是先进制造业的关键要素。它们具有空间灵活性、可触及范围长、多自由度以及以低成本快速完成重复任务的能力等优点。航运、汽车、航空航天、石油和天然气等制造业已经开始使用机器人装卸、运送和组装零部件。通过与计算机数控机器和人类合作，机器人可以提高制造和组装的效率。与GN公司（GNC）合作的目标是开发一种智能机器人平台，用于将陶瓷部件与镁瓶和钻孔部件粘合和组装的制造过程自动化。创新之处在于开发机器人的最佳刀具路径世代、电机控制、基于人工智能的机器视觉检测、感觉系统和钻孔颤振稳定性等技术。第一个可能的结果将是最优轨迹生成算法，以使机器人在足够的速度下最小化残余振动。第二个可能的结果将是一个气动装配系统，通过使用一个力传感器来设计装配。第三个潜在的结果将是机器视觉算法固有的深度学习技术，用于零件对准和检查。最后的结果将是最优的加工参数，以避免钻孔颤振。该项目将为加拿大未来的工业培训HQP的机器人、制造和机电一体化。这一目标可以通过技术开发、与GNC密切互动和技术转让的努力来实现。该项目的完成将有助于探索未来的商业化路径。拟议研究的技术转让将加速阿尔伯塔省和加拿大制造业的自动化，有效利用人力并提高产量。

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.