Viewing posts categorised under: Cybernetics

Complex Dynamical Systems

3D Vision Guidance, Artificial Intelligence, Cybernetics, Machine Learning, Neocortex, Robot Vision Guidance, Robotics / 15.06.20200 comments

Universal Logic’s years as practitioners, implementing state-of-art automation, has given us deep insight into the interplay between invention and utility.  We have engaged with a spectrum of clients from technocrats to novices, on a range of industrial applications.  Through it all, one thing remains clear.  Success in deploying a complex, multi-technology solution – blending vision, AI and motion control, resides in the close interplay and analysis between these disparate engineering domains.  As magnificent as robots, sensors and algorithms are individually, it is their combination in service to an application that allows cutting edge automation to handle real-time dynamic variability. 

Our full-stack software, Neocortex, is comprised of DeepEye (AI), Autonomy (path planning and obstacle avoidance), and Spatial Vision (middleware).  It is machine agnostic.  The software provides a closed-loop, behavior-based system of sense/act/learn and represents a profound expansion of manufacturing execution systems (MES) in an area of Industry 4.0 know as IoRT (Internet of Robotics Things).  Neocortex is embodied, that is, physically in the world, controlling movement through space, and learning from that action.  This is a paradigm shift in the way to think about software.  Intelligence emerges because it has a physical form.  The software/hardware union and the environment constitute two halves of a complex dynamical system. Neocortex senses the environment and reacts, changing the environment which updates the sensing and behavior.  They are a closed loop.

Software structures easily allow for highly layered communications and decision making processes.  As exposure to new variables increases over time, a rich set of exception handling protocols develop in Neocortex.  The data base of retained and applied learning are brought to bear with every installation.  There is a direct corollary between robust behavior and the layers of decision making options the software evaluates in milliseconds before executing an action.  

The embodied character of Neocortex is reflected in Universal’s IOT profile, in that we are both a software developer and a system integrator.  This is a great strength.  Our intimate experience coupling the software and hardware, provides the real-world feedback necessary to perfect the craftmanship of Neocortex.  We also team with other integrators, who benefit from  our advice and sympathy as fellow integrators.   

Our time on the line has given us the humility to know where the state-of-art actually is.  Give us a call to discuss your application.  We are very generous with our knowledge.

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If I Only Had a Brain

3D Vision Guidance, Artificial Intelligence, Cybernetics, Machine Learning, Neocortex, Robot Vision Guidance, Robotics / 25.02.20200 comments

If your robots could text you, it’s first message would read: “If I only Had a Brain”

Neocortex Leads the industry with a software “Brain” that gives robots human-like flexibility at high speed.

As Ray Bolger rightly exclaimed in the Wizard of Oz in 1939 “I could think of things I’d never Thunk before, And then I’d sit down and think some more.”  Welcome to Industry 4.0 and the world of smart robots. Over the last few years, advances in the coupling of AI, 3D vision, and robot control, have spawned the expansion of machines replacing or working closely with laborers, manifesting all the benefits of automation to new horizons.

Universal spent a decade advancing it’s robot software brain, Neocortex.  Today the technology is integrated across the supply chain from handling retail products to manufacturing, allowing our customers to reap the benefits of lower operating cost, improved reliability,  and mitigation of risk.  The product is achieved 6 Sigma reliability with picking speeds up to 1800 cycles per hour, tripling typical manual output.

Upgrade or Retrofit your current robots to Smart Robots and achieve both increased adaptability and productivity out of your Robots!

Read a fascinating article Dumb Robots vs. Smart Robots  “If we want machines to think, we need to teach them to see” Fei-Fei Le, Chief Scientist Google, AI/Machine Learning.

From Bloomberg News: Make Dumb Industrial Robots Smart

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Supply Chain Analytics

Artificial Intelligence, Cybernetics, eCommerce, Machine Learning, Neocortex, Robotic Order Fulfillment, Robotics, Robotics Business / 29.08.2014

Clint Reiser points out in the linked article that a new revolution in supply chain analytics is occurring. There is new level of data detail, it’s coming at us faster, providing bigger patterns and better insights.

The detail isn’t just point-of-sale information, customer buying patterns, or fleet telematics. From Universal’s perspective, the combining of machine learning and machine vision into robust automated solutions for material handling processes previously thought as random is a unique source of this data.

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Deep Learning for Robots

3D Vision Guidance, Artificial Intelligence, Cybernetics, Neocortex, Robotics, Robotics Business / 08.08.2014

Check out this interesting article on advances in deep learning for robots: Robots Helped Inspire Deep Learning and Might Become Its Killer App?

It’s worth comparing/contrasting between deep learning techniques and Neocortex. Neocortex is Universal Robotics’ patented machine learning platform, based on a seven-year development effort between NASA and Vanderbilt University. Even though the technology is currently employed on Robonaut 2 on the International Space Station, Universal’s focus with Neocortex is material handling tasks. By learning to recognize new objects or recognize previously seen objects that have changed, Neocortex machine intelligence brings flexibility to material handling automation.

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