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The things we need to know for the 2016 robotic experience — robot clusters, manufacturing & logistics, food & healthcare, A3 Mexico Coming Soon and robotics integration.


Bold predictions for Collaboration, Connectivity and Convergence rang in 2015. One industry insider even called them prescient. Looking back a year later, we see the five-year forecast materializing faster than expected.

Industrial Internet of Things (IIOT) is more than a buzzword. With drones taking to the skies and autonomous robots navigating our warehouses, local eateries, hotels, hospitals, and stores, and soon our roadways – the differences between industrial, collaborative, and service robots continue to blur. No longer are robots reserved for multinational conglomerates or the rich eccentric with a sweet tooth for high-tech toys. SMEs and your average homeowner can now join the party. Sensors, software, and hardware are getting smarter and cheaper. We’re democratizing robotics for the masses.

It’s taken longer than some had hoped. But we’re approaching the tipping point for many automation technologies. We’re envisioning a world where robots will help the elderly and infirm with everyday tasks, so they can live independently longer. We’re moving closer to Asimov’s robots and to the “mobile, sensate robot” Engelberger anticipated. It’s the paradigm shift foretold by visionaries past and present.

https://www.youtube.com/watch?v=UdkxFrpF9sk

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The world has undergone three industrial revolutions that have dramatically impacted the way we live. So what will happen during the fourth industrial revolution?

You might not know it, but you’re really just one Kickstarter away from launching your own satellite. CubeSats and other small, cheap spacecraft platforms have reduced the cost of getting to orbit by a huge margin, allowing for a more democratized age of space exploration.

As exciting as this populist spaceflight movement is, there is still one major technological hurdle it has to clear before it will meet its full potential: Propulsion.

Luv the whole beautiful picture of a Big Data Quantum Computing Cloud. And, we’re definitely going to need it for all of our data demands and performance demands when you layer in the future of AI (including robotics), wearables, our ongoing convergence to singularity with nanobots and other BMI technologies. Why we could easily exceed $4.6 bil by 2021.


From gene mapping to space exploration, humanity continues to generate ever-larger sets of data—far more information than people can actually process, manage, or understand.

Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way.

Such topological systems are especially useful for analyzing the connections in complex networks, such as the internal wiring of the brain, the U.S. power grid, or the global interconnections of the Internet. But even with the most powerful modern supercomputers, such problems remain daunting and impractical to solve. Now, a new approach that would use quantum computers to streamline these problems has been developed by researchers at MIT, the University of Waterloo, and the University of Southern California…