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.
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.
Quickly master new skills using behavior models shared by other networked devices
Respond to unexpected change with new ways for completing an assigned task
Track one's surroundings to avoid contact with people and safely navigate around clutter
Integrate basic motor skills into more complex movements to safely manipulate an object while in hand