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Found 3 papers, 2 papers with code
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
We introduce FabricFlowNet (FFN), a cloth manipulation policy that leverages flow as both an input and as an action representation to improve performance.
Cloth Region Segmentation for Robust Grasp Selection
Our approach trains a network to segment the edges and corners of a cloth from a depth image, distinguishing such regions from wrinkles or folds.
Robotics
Multi-modal Transfer Learning for Grasping Transparent and Specular Objects
State-of-the-art object grasping methods rely on depth sensing to plan robust grasps, but commercially available depth sensors fail to detect transparent and specular objects.
Robotics
