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Building Smarter Factories

Robot Assistants Work in Tandem with Human Co-Workers to Increase Productivity


The industrial Internet of Things — collectively, a mix of cheap sensors, fast networks, and distributed computing — represents a paradigm shift in manufacturing, where machines that routinely excel at precise and repetitive tasks become easier to reprogram and retool for short production runs: allowing brands to rapidly expand their model lineups with features that better cater to consumer demands for more diverse product customization options.

Even more agile systems could also learn new tasks through training — trial-and-error rather than pre-programming — and promise to extend the traditional roles of robots on factory floors by working more collaboratively alongside people to perform tasks previously difficult to cost effectively automate.


Silicon Biology

Bytes and Bots


Silicon Biology builds highly versatile industrial robots that can be easily repurposed by non-technical co-workers on production lines with frequent turnover.

These systems apply multi-layered machine learning techniques, called "deep learning," to overcome some of the most interesting challenges in robotics; and since even the best laid plans often go awry, can intelligently account for unexpected changes in dynamic environments with new ways to compete a task.



Collective Learning

Quickly master new skills using behavior models shared by other networked devices


  

Task-level Planning

Respond to unexpected change with new ways for completing an assigned task




Building Coherent
World Maps


Track one's surroundings to avoid contact with people and safely navigate around clutter


Grasp Stabilization
and Control


Integrate basic motor skills into more complex movements to safely manipulate an object while in hand


 AI Engines
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Updated September 13, 2017.  All Rights Reserved.