Smart Future

Knapp continues collaboration with AI expert Covariant

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Future robotic systems should learn from "experience"

According to the developers, the Pick-it-Easy Robot powered by Covariant currently sets the industry benchmark for automatic single-item order picking in terms of industrial suitability, reliability, and performance. It is now set to be further developed in close collaboration between Knapp and Covariant. The recently introduced RFM-1 (Robotics Foundation Model) by Covariant, for example, is an AI model that gives robots a type of cognitive ability and is intended to elevate robotic systems for intralogistics and beyond to the next level. The RFM-1 model has been trained with data from extensive text, image, and video databases, as well as numerical sensor measurements collected during live operations. The technology is distinguished particularly by its ability to understand and autonomously handle many scenarios. Instead of conveying to robots how to behave in tricky situations through rigid program codes, robots could in the future learn from "experience" created through countless observations—much like humans. This multimodal approach allows the model to simulate the outcome of future scenarios and select the best course of action, which improves both the speed and reliability of robot operations, as experts say.

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