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One theory I came up with years ago, backed by absolutely no evidence, is that automation and robotics will eventually be so extensive that none of us will have to leave our houses. We will eventually sit around all day, grow roots, and evolve back into the plant life we came from millions of years ago.

Have collaborative, six-axis robots reached a tipping point in establishing their niche in manufacturing? And could they be opening doors for manufacturers to adopt automation overall?

It’s said you don’t know where you’re going if you don’t know where you’ve been. For Industry 4.0 and advanced manufacturing, digital libraries provide that map.

Smart Manufacturing sat down with KIMBERLEY HAGERTY, Industry 4.0 digital manufacturing transformation manager at Pratt & Whitney, at the Westec conference in Los Angeles in September to hear about the progress her firm is making adopting smart manufacturing processes, solutions and strategies.

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.

Manufacturers continue to be bombarded with an onslaught of technology terms, as well as different ideas on where to begin and how to proceed. This confusion has slowed the adoption of new technology. Yet a big opportunity for a huge increase in efficiency awaits.

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

Defense systems are, by design, built to defend against threats. Today, however, manufacturers of these systems are focusing on an entirely new kind of threat: security breaches targeting their automation systems.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

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.