Augmented reality (AR) is a software–hardware fusion that enables creators to display information and 3D models digitally in the real world, giving users the sense that they are actually there. AR is not new, but the hardware and powerful software needed to use it conveniently are becoming more common. With this level of accessibility, AR is gaining use in manufacturing environments to solve many information access challenges.
Design manufacturability is the general engineering practice of designing products so that they are efficient to manufacture. The use of digital twins is emerging as a solution that bridges the gap between design and manufacturing, with long-term potential to maximize efficiency and minimize wase.
There are well-known benefits to industrial manufacturing, adopted over time as standalone functional improvements, such as production rate optimization and increasing the data collected to improve operations insights. But as manufacturing takes a more holistic view to integrating the information technology (IT) infrastructure with operations technology (OT) to create the smart factory, manufacturers can realize the full benefit of this “industrial IoT” (IIoT) propelling their industries forward.
Ever since industrial robotic systems were first introduced, they have faced numerous challenges. Emerging technological developments in hardware, software, and advanced analytics could address these challenges and better support modern robotic systems by improving interactions both among robots and between humans and robots, increasing productivity, and reducing costs.
Although the traditional manufacturing goals of efficiency, accuracy, and safety remain relevant, manufacturing environments are trending toward new characteristics, such as being agile, accessible, data-driven, collaborative, resilient, and sustainable. This whitepaper examines these characteristics and how they help meet customers’ rapidly evolving needs and expectations.