Standard Bots selects Cognibotics’ calibration for next-generation AI cobots

Standard Bots selects Cognibotics’ calibration for next-generation AI cobots

Standard Bots, an AI-driven robotics firm constructing collaborative robotic arms in america, has chosen Cognibotics’ CogniCal calibration for its next-generation cobot platform.

CogniCal delivers world-class accuracy, making robots simpler to combine and fee throughout a wider vary of duties. With correct robots, coaching of AI pushed robotic duties turns into extra environment friendly and transferable between robotic people; Crucial for scalable intelligence.

Normal Bots is thought for its RO1 cobot and a brand new 30 kg, 2 m attain mannequin. Each mix 6-axis arms with built-in AI, 3D imaginative and prescient, and no-code programming.

“Cognibotics delivered probably the most strong and production-ready calibration know-how we examined, outperforming each open-source and industrial alternate options. Their resolution turns into a key enabler in how we scale Normal Bots,” mentioned Evan Beard, CEO of Normal Bots.

Robotic accuracy makes utility constructing simpler and integration of, for instance, cameras extra precious. CogniCal limits the distinction between robotic people, brought on by geometry deviations and payload affect; phenomena that in any other case introduces noise within the AI system coaching information, or require pricey diversifications of the robotic packages within the classical case.


Fredrik Malmgren, CEO, Cognibotics, says: “AI is altering how robots are programmed, however factories nonetheless depend on precision, uptime, and predictability. That’s the place Cognibotics is available in.

“By combining Normal Bots’ AI-first cobots with our calibration, producers get robots which can be as correct and secure as conventional high-end programs, however deployable at software program velocity.”

For end-users, this implies shorter commissioning occasions, higher predictability and AI-trained abilities which can be simply transferred between robots and websites.