Folding clothes autonomously: A complete pipeline

A Doumanoglou, J Stria, G Peleka… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This work presents a complete pipeline for folding a pile of clothes using a dual-armed robot.
This is a challenging task both from the viewpoint of machine vision and robotic …

Disruption-resistant deformable object manipulation on basis of online shape estimation and prediction-driven trajectory correction

D Tanaka, S Arnold, K Yamazaki - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
We consider the problem of deformable object manipulation with variable goal states and
mid-manipulation disruptions. We propose an approach that integrates online shape …

Semantic state estimation in cloth manipulation tasks

G Tzelepis, EE Aksoy, J Borràs, G Alenya - arXiv preprint arXiv …, 2022 - arxiv.org
Understanding of deformable object manipulations such as textiles is a challenge due to the
complexity and high dimensionality of the problem. Particularly, the lack of a generic …

A precise method for cloth configuration parsing applied to single-arm flattening

L Sun, GA Camarasa, A Khan… - … Journal of Advanced …, 2016 - journals.sagepub.com
In this paper, we investigate the contribution that visual perception affords to a robotic
manipulation task in which a crumpled garment is flattened by eliminating visually detected …

Cloth manipulation planning on basis of mesh representations with incomplete domain knowledge and voxel-to-mesh estimation

S Arnold, D Tanaka, K Yamazaki - Frontiers in Neurorobotics, 2023 - frontiersin.org
Cloth manipulation is common in both housework and manufacturing. However, robotic cloth
manipulation remains challenging, especially for less controlled and open-goal settings. We …

Manifold embedded global and local discriminative features selection for single-shot multi-categories clothing recognition and retrieval

J Huang - International Journal of Intelligent Computing and …, 2024 - emerald.com
Purpose Single-shot multi-category clothing recognition and retrieval play a crucial role in
online searching and offline settlement scenarios. Existing clothing recognition methods …

3D non-rigid deformable surface estimation without feature correspondence

B Willimon, I Walker, S Birchfield - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
We propose an algorithm, that extends our previous work, to estimate the current
configuration of a non-rigid object using energy minimization and graph cuts. Our approach …

Handling occlusion and large displacement through improved RGB-D scene flow estimation

Y Wang, J Zhang, Z Liu, Q Wu, PA Chou… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
The accuracy of scene flow is restricted by several challenges such as occlusion and large
displacement motion. When occlusion happens, the positions inside the occluded regions …

Articulated object tracking by high-speed monocular RGB camera

Y Liu, A Namiki - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In recent years, tracking of articulated objects at high speed with monocular cameras has
been gaining attention. This study presents a novel method for high-frame-rate articulated …

Semantic State Prediction in Robotic Cloth Manipulation

G Tzelepis, J Borràs, EE Aksoy, G Alenyà - Intelligent Systems Conference, 2023 - Springer
State estimation of deformable objects such as textiles is notoriously difficult due to its
extreme high dimensionality and complexity. Lack of data and benchmarks is another …