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Vision-Based 6-DoF Grasp Pose Estimation for Robot Cloth Unfolding

Paper recorded by Signals 4 on 2026-09-25 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.CV · 计算机视觉 · first seen 2026-09-28

Abstract

Cloth manipulation is a challenging task due to the deformable and high-dimensional nature of cloth, which leads to complex interaction dynamics and perceptual ambiguity arising from frequent occlusions of critical visual cues such as folds, edges, and grasp points. In this work, we tackle cloth unfolding using a regrasping-in-the-air strategy, where one manipulator holds the cloth while the other

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#26 most recent of 342 cs.CV papers we have recorded · ↑ newer: Diagnosing the Sources of Compositional Failure in Vision-Language Mod · ↓ older: TemplateCraft: Agentic Visual Template Generation
Cite this page: Vision-Based 6-DoF Grasp Pose Estimation for Robot Cloth Unfolding: the #26 most recent of 342 cs.CV papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vision-based-6-dof-grasp-pose-estimation-for-robot-cloth-unfolding.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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