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The devices quickly become less costly, sophisticated and independent, gaining wider influence.

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).

Anaqua, Inc., a leading provider of Intellectual Property (IP) management, today announced that Diebold Nixdorf has selected the ANAQUA platform to manage its global IP portfolio from its operations in the U.S. and Germany.

Thermoplastic composites are gaining traction in manufacturing applications, offering benefits like lighter weight, faster production times, longer shelf life and easier shipping compared with metals or other composites.

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.

The University of Illinois at Urbana-Champaign (UIUC; Urbana, IL) has a long, distinguished history and tradition in mechanical and applied engineering sciences, and the university will soon celebrate the opening of a long-planned, multi-million-dollar expansion to its Mechanical Science and Engineering (MechSE) building.

The next “dynamic duo” may not involve humans at all. “Machine vision and robots make for a perfect marriage,” stated Klas Bengtsson, global product manager, vision systems for ABB Robotics (Auburn Hills, MI). This is not new. Vision and robotics have gone hand in hand for years.

A key success factor for Industry 4.0 and IIoT (Industrial Internet of Things) initiatives is the emergence of more and better sensors in machining centers, and even in the cutting tools themselves. These sensors provide the data and connectivity that are the foundation for the “factory of the future.”