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Topics: Science, technology

  • Cognibotics Helps Advance Motion Layer for AI-Guided Surgical Robotics in CAISA

    Cognibotics AB is contributing its motion software to the Vinnova-funded CAISA project as it enters the demonstrator phase. In CAISA, Cognibotics provides the motion layer between AI-based perception/planning and the robot, enabling predictable instrument handling in a paediatric heart-surgery research testbed. Partners include Region Skåne, Lund University and Cobotic; funding is SEK 10 million.

    Phan-Kiet Tran, paediatric heart surgeon, with CAISA robot demonstrator for instrument handling at Skåne University Hospital.
  • Standard Bots selects Cognibotics’ calibration for next-generation AI cobots

    Standard Bots has selected Cognibotics’ calibration CogniCal for its next-generation AI cobots. The calibration boosts accuracy, shortens commissioning, and improves predictability. By reducing robot-to-robot variation, CogniCal improves AI training data quality and makes AI-trained skills easier to transfer across robots, lines, and sites.

    Standard Bots demonstrates its AI-powered RO1 cobot in a dual-arm demo, calibrated with Cognibotics CogniCal
  • Nowaste Logistics Advances Automation with Cognibotics Robot Picking Cell

    Nowaste Logistics has ordered a second Cognibotics robot picking cell following successful performance of the first. Integrated with AutoStore, the robot enhances automation, boosts efficiency, and allows flexibility in handling diverse products, fortifying Nowaste's competitiveness in third-party logistics.

    Visualization of Cognibotics’ robot picking cell at Nowaste Logistics – a high-speed, long-reach robot picking
  • Cognibotics and Boozt Team Up for Advanced AutoStore Automation

    Cognibotics and Boozt are collaborating on a pilot project using the HKM1800 robot to improve AutoStore's pick-to-pack efficiency. This automation aims to enhance throughput and reduce manual tasks, addressing challenges in e-commerce logistics and increasing Boozt's operational capacity.

    Johan Lindberg, Martin Nilson, Fredrik Malmgren, Tobias Sjölin, 
Riordan Croese, Stina Edholm.