Logistics News Procurement Operations

KNAPP and Covariant Extend their success story

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KNAPP, automation, and Covariant, an AI robotics based in California, are thrilled to announce the extension of their multi-year partnership.

This collaboration, which began five years ago, is set to push the boundaries of AI-powered robotics, particularly through their flagship product, the Pick-it-Easy Robot.

Covariant, renowned for its innovative Robotic Foundation Models, equips robots with the ability to operate effectively in complex environments. The expanded partnership will see KNAPP and Covariant further developing the Pick-it-Easy Robot, a groundbreaking solution that combines advanced technology with deep logistics knowledge.

The Pick-it-Easy Robot, which integrates KNAPP’s KiSoft software with Covariant’s sophisticated image processing technology, has already proven its worth across 26 global customers, including major industry players such as Würth, McKesson, and Brodrene Dahl. The system automates the handling of diverse items, addressing the ongoing challenges of labour shortages and operational efficiency in warehouses.

Peter Puchwein, Vice President of Research and Development at KNAPP, highlights the synergy between the two companies: “Testing Covariant’s AI showcased its impressive capabilities, leading us to merge our robotics and logistics expertise. This collaboration has significantly enhanced our technology, making it more adept at handling a variety of items and packaging types.”

Ted Stinson, COO of Covariant, echoes this sentiment, emphasising the impact of their partnership: “Our long-standing collaboration demonstrates the power of combining innovative approaches. We are excited about the future and the continued success of our joint efforts, which are transforming the logistics industry.”

The Pick-it-Easy Robot not only streamlines high-performance order picking but also automates the transfer of goods to pocket sorter systems, thus optimising warehouse operations. By alleviating employees from repetitive tasks, it enhances efficiency and allows for better staff deployment.

Looking forward, KNAPP and Covariant are poised to advance their technology even further. Covariant’s new RFM-1 model introduces human-like cognitive abilities, enabling robots to learn from diverse data sources including text, images, and sensor readings. This model promises unprecedented flexibility and broader applications in warehouse operations and beyond.

As KNAPP and Covariant continue to innovate, their partnership stands as a testament to the transformative potential of integrating robotics and AI in logistics, setting new standards for automated item handling and operational efficiency.

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