By January 13, 2026 Read More →

Calibration for next-generation AI cobots

260113_CogniboticsStandard Bots, an AI-driven robotics company building collaborative robot arms in the United States, has selected Cognibotics’ CogniCal calibration for its next-generation cobot platform.

CogniCal delivers world-class accuracy, making robots easier to integrate and commission across a wider range of tasks. With accurate robots, training of AI driven robot tasks becomes more efficient and transferable between robot individuals; Critical for scalable intelligence.

Standard Bots is known for its RO1 cobot and a new 30 kg, 2 m reach model. Both combine 6-axis arms with integrated AI, 3D vision, and no-code programming.

“Cognibotics delivered the most robust and production-ready calibration technology we tested, outperforming both open-source and commercial alternatives. Their solution becomes a key enabler in how we scale Standard Bots,” said Evan Beard, CEO of Standard Bots.

Precision that scales across robots and sites

Robot accuracy makes application building easier and integration of, for example, cameras more valuable. CogniCal limits the difference between robot individuals, caused by geometry deviations and payload influence; phenomena that otherwise introduces noise in the AI system training data, or require costly adaptations of the robot programs in the classical case.

“AI is changing how robots are programmed, but factories still rely on precision, uptime, and predictability. That’s where Cognibotics comes in. By combining Standard Bots’ AI-first cobots with our calibration, manufacturers get robots that are as accurate and stable as traditional high-end systems, but deployable at software speed,” said Fredrik Malmgren, CEO, Cognibotics

For end-users, this means shorter commissioning times, better predictability and AI-trained skills that are easily transferred between robots and sites.

Disclaimer: Robotics Update is not responsible for the content of submitted or externally produced articles and images. Click here to email us about any errors or omissions contained within this article