Why Robot Hands Still Can't Fold a T-Shirt

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Why Robot Hands Still Can't Fold a T-Shirt

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Episode 34 of The Robotics Podcast tackles the deceptively difficult problem of robotic garment manipulation. Lucas and Luna explore why folding a t-shirt remains a grand challenge in robotics, from the high-dimensional state space of fabric to the limitations of current grippers and perception systems. They examine the Berkeley AutoLab's work on speed-scaling cloth manipulation, the 'Bidirectional Cloth Manipulation' paper from 2024, and why even the latest deep learning models struggle with deformable objects. The episode also touches on the broader implications for automation in logistics and home robotics, and why this problem is a litmus test for general-purpose manipulation. #Robotics #Technology #RobotHands #GarmentManipulation #DeformableObjects #BerkeleyAutoLab #ClothFolding #DeepLearning #Grasping #Perception #Automation #Logistics #HomeRobotics #FexingoBusiness #BusinessPodcast #RobotLimits #Manipulation #Research Fexingo founder and producer: Ibnul Jaif Farabi Keep every episode free: buymeacoffee.com/fexingo

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