The Olis Master Controller (OMC) is a next-generation controller for piloting Remotely Operated Vehicles (ROVs) in the offshore energy industry. The controller provides both remote and local ROV operation in a user-friendly configuration that increases task efficiencies to decrease ROV operation costs.
Equipped with the Olis Core Operating System that is designed to incorporate machine perception and machine learning capabilities, the OMC saves service operators significant costs by decreasing training needs and minimizing pilot burden. The technology has already received praise from customers operating subsea vessels in the North Sea and has been tested in the Gulf of Mexico and off the Brazilian coast.
“The Olis Master Controller unlocks vast new opportunities for offshore energy companies to increase efficiencies, reduce human risk and greatly lower their costs,” said Don Pickering, CEO for Olis Robotics. “By partnering with Forum Energy Technologies, we are excited to accelerate bringing this transformative technology to new customers around the world.”
The controller is purpose-built for future integration of 3D visualization and autonomy capabilities to further reduce expenses and increase operational capacities in the subsea market.
“As a global market leader in underwater vehicles and technology, Forum welcomes this opportunity to offer cutting-edge robotic controls to our customers,” said Kevin Taylor, Forum’s Vice President for Subsea Vehicles. “The technology provided by Olis Robotics enables Forum to offer improvements in safety, productivity, and reliability to the substantial worldwide fleet of Forum-made ROVs owned by our customers, and to enhance the capability of new vehicles. We are excited to be working with Olis Robotics and we look forward to future opportunities to integrate their technology with ours.”
Olis Robotics launched sales of the OMC in the third quarter of 2019. A Digital Workspace application for the OMC’s CoreOS is projected for release in the first quarter of 2020. The new application enables machine perception to produce a live 3D work environment and supports machine-learning capability integration.