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Home›Business & Finance›iCsys, Olis Robotics to Distribute Machine-Learning ROV Controller
Business & Finance

October 10, 2019 · about 6 years ago

iCsys, Olis Robotics to Distribute Machine-Learning ROV Controller

Olis Robotics has entered into an agreement with iCsys, part of the Envirex Group, for sales, distribution and support of Olis Robotics machine-learning ROV controllers. “We’re excited to continue to see rapid adoption of our technology which provides a major evolutionary leap beyond the 1990’s manu

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Olis Robotics has entered into an agreement with iCsys, part of the Envirex Group, for sales, distribution and support of Olis Robotics machine-learning ROV controllers.

“We’re excited to continue to see rapid adoption of our technology which provides a major evolutionary leap beyond the 1990’s manual control electronics underpinning current ROV’s .” stated Olis Robotics CEO Don Pickering , “ The technology we put into play makes operations safer, provides new levels of clarity and control for operators, and can save hundreds of thousands of dollars per mission by eliminating the need for multiple robots .”

The Olis Master Controller (OMC) is based on iCsys’ hardware design and is equipped with key software features of the Olis Robotics CoreOS software platform.

The CoreOS software platform is robot agnostic with the ability to switch control between multiple, different robots and can incorporate future machine perception and machine learning capabilities being developed by Olis.

“Our team extensively tested this technology via multiple sea trials in raw North Sea environments. Through data collected by our test pilots, we know the innovative software and hardware products significantly improves ROV pilot efficiency with manipulation tasks, ” iCsys spokesperson Vidar Haus stated. “ We’re pleased to see interested ROV operator customers already filling a significant pipeline to harness the value and cost-savings of the new OMC. ”

Olis Robotics launched sales of the OMC in the third quarter of 2019. Additional capabilities through the Digital Workspace application for the CoreOS is projected to be released in the first quarter of 2020. The new application enables enhanced 3D machine perception to produce a live 3D work environment and supports further machine-learning capability integration.

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