How Robot Hands Are Learning to Fold T-Shirts

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How Robot Hands Are Learning to Fold T-Shirts

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Episode 79 of The Robotics Business. Lucas and Luna explore the surprisingly difficult problem of robotic garment folding. They break down why a task that a five-year-old can master has stumped robotics engineers for decades, focusing on the specific physics of woven fabric — non-rigid, non-linear, infinitely variable. The hosts walk through a 2025 paper from the University of Tokyo's JSK Lab that achieved a 94 percent success rate on t-shirts using a new force-sensing gripper and a learned deformation model. They discuss the commercial implications for laundry startups, the difference between structured and unstructured deformable objects, and why this breakthrough matters for the broader automation industry. By the end, listeners will understand exactly why folding a t-shirt is harder than assembling a car engine — and why that's finally changing. #RobotHands #GarmentFolding #DeformableObjects #Robotics #Automation #UniversityOfTokyo #JSKLab #ForceSensing #LaundryRobots #Manufacturing #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #RoboticsStartup #DeepLearning #GripperTech #IndustrialRobots #HardwareStartups Keep every episode free: buymeacoffee.com/fexingo

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