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Unfolding the Literature: A Review of Robotic Cloth Manipulation

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arxiv 2407.01361 v2 pith:6EZMAHDM submitted 2024-07-01 cs.RO

classification cs.RO
keywords textileschallengesmanipulationperceptiontextileaddressfieldmethods
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The realm of textiles spans clothing, households, healthcare, sports, and industrial applications. The deformable nature of these objects poses unique challenges that prior work on rigid objects cannot fully address. The increasing interest within the community in textile perception and manipulation has led to new methods that aim to address challenges in modeling, perception, and control, resulting in significant progress. However, this progress is often tailored to one specific textile or a subcategory of these textiles. To understand what restricts these methods and hinders current approaches from generalizing to a broader range of real-world textiles, this review provides an overview of the field, focusing specifically on how and to what extent textile variations are addressed in modeling, perception, benchmarking, and manipulation of textiles. We finally conclude by identifying key open problems and outlining grand challenges that will drive future advancements in the field.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dexterous Manipulation of Deformable Objects via Pneumatic Gripping: Lifting by One End

    cs.RO 2025-01 conditional novelty 6.0 of 10

    A catenary-based trajectory that moves a pneumatic gripper tangentially and compensates for fabric slip enables one-edge lifting of textiles at 19-76% lower supply pressure.

  2. Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision

    cs.CV 2025-01 conditional novelty 6.0 of 10

    Cloth-Splatting couples a graph-network cloth dynamics prior with mesh-constrained 3D Gaussian Splatting to refine 3D cloth state estimates from RGB images, improving accuracy and convergence speed over existing trackers.

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