Universal AI OS brings intelligence to collaborative robots

September 09, 2020 //By Rich Pell
Universal AI OS brings intelligence to collaborative robots
Factory automation solution provider Qobotix has announced a universal AI operating system (OS) designed to transform collaborative robots (cobots) into intelligent coworkers on the manufacturing floor.

Powered by proprietary AI, machine vision, and kinematics, the Qobotix OS platform coordinates industrial automation between manufacturers' robotic capabilities. The OS's agnostic plug-and-play technology, says the company, enables intelligent factory applications to perform complex tasks that were considered only possible by humans.

"Our aim is to take robotics out of the late 1990s with the Qobotix operating system," says Qobotix co-founder and CEO Egor Korneev. "In the early 2000s, hardware companies dominated the mobile phone and device markets and the mobile applications ecosystem was weak with no common OS options. The advent of iOS and Android led to an explosion in mobile software applications based on open OS platforms. We are now in a similar place with cobots with Qobotix offering a universal operating system for industrial robots driven by AI as a platform for automation applications."

The company also offers complete robot stations, which are ready for immediate deployment on manufacturing lines with the flexibility to be deployed rapidly for different tasks. With the Qobotix OS, says the company, manufacturers can boost their manufacturing productivity, reduce costs, and simplify manufacturing processes, such as precision inspection, picking, packing and assembly tasks.

The company's cloud platform provides a factory management platform with a centralized repository of work intelligence that can be shared between machines to manage production analytics and provide managers with deep analysis of robotic performance. The company says it already has active OS installations in major auto manufacturing operations, and is seeking early adopters of its technology and aims to distribute 20 to 50 robot stations in the first year with deployment, training, and testing that can be done on the same day.

A central innovation of its technology, says the company, is that it enables robots to learn independently - humans can train robots by interacting with them and robots can learn from other robots, unlike existing industrial robots that are pre-programmed to perform only one task. This


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