ABB Robotics Enhances Fashion Inductor with AI for Apparel Logistics

Published
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RobotToday Industry Briefing

ABB Robotics has announced an upgrade to its Fashion Inductor functional module, integrating the AI Robot Trainer to streamline automation in fashion logistics. This enhancement aims to address the high variability in fashion and apparel handling, where products and packaging frequently change. The system reportedly reduces engineering and commissioning efforts by up to 75%, making advanced AI more accessible for deployment and optimization.

The Fashion Inductor is designed to handle the complexities of fashion logistics, which include high volumes and diverse product types. Craig McDonnell, ABB Robotics business line managing director, highlighted that traditional robotic systems struggle with the variability of garments, which can be soft and deformable. The Fashion Inductor's AI capabilities allow it to recognize various garments and adapt to different packaging conditions, achieving a picking accuracy of over 99.5% at a throughput of up to 1,300 items per hour.

ABB Robotics aims to further enhance the Fashion Inductor's capabilities with the AI Robot Trainer, which allows for the creation and retraining of fashion-specific models. This adaptability is crucial for meeting the demands of seasonal peaks and changing product lines. No further timeline was disclosed at the time of publication.

Original report

Work It! Automation For The Fashion Runway

AutomationWorld.com ·  (undefined)
Read at AutomationWorld.com

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