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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).

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.

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.

Industry 4.0 is inevitable, and everyone is looking to find a way forward. But manufacturing leaders who focus only on the technology involved will be frustrated—because the new industrial revolution is just as much a culture and people thing as it is a technology thing.

As manufacturing becomes ever more complex, tools that assist workers with difficult or unfamiliar tasks are becoming critical to process efficiency and product quality. An explosion in the development of mobile, wearable, and augmented reality (AR) computing technologies has thus created a new world of possibilities for the manufacturing industry.

The concepts Industry 4.0 in Europe, Made in China 2025 and smart manufacturing in the U.S. “all share a common goal—to create cyber-physical systems to innovate in manufacturing,” IDC's Bob Parker said at Dassault Systèmes’ recent Manufacturing in the Age of Experience event. “And it’s really dependent on a set of new technologies like IoT (the Internet of Things) and artificial intelligence (AI).”

The $150 million “factory of the future” that the Swiss innovator ABB announced a year ago is becoming reality in this enormous city’s Pudong New Area.

Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools.

There is still a lot of talk about breaking down the “silos” within a manufacturing enterprise. Siemens, like other software providers, is trying to address the problem by offering toolsets that are easier to integrate and work together.