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Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.

A team of researchers from UC Berkeley, led by Pieter Abbeel, is working on the creation of smart robots that are teachable and can learn new skills without pre-programming. Abbeel and his team also formed a startup called Embodied Intelligence with the aim of developing artificial intelligence (AI) software to enable robots to learn from humans to perform complex tasks.

While cameras and motion control have worked in tandem for at least 15 years, their integration has improved because networks have gotten faster, more reliable, and more deterministic (i.e., nothing will interfere with a function that’s a priority).

In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.

For many years, the knowledge economy and traditional industries like manufacturing appeared to be on parallel tracks. Now those tracks are converging.

Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

Industry 4.0 is often referred to as smart manufacturing, where technology enables interconnectivity for machines and manufacturing software and systems. It also provides “Big Data,” increased visibility and remote access to manufacturing assets.

Just getting familiar with the digital thread? You’ve come to the right place to learn what it is and why you need it for your products.