Unfolding the literature: A review of robotic cloth manipulation

A Longhini, Y Wang, I Garcia-Camacho… - Annual Review of …, 2024 - annualreviews.org
The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …

RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks

H Shi, H Xu, Z Huang, Y Li… - The International Journal …, 2024 - journals.sagepub.com
Modeling and manipulating elasto-plastic objects are essential capabilities for robots to
perform complex industrial and household interaction tasks (eg, stuffing dumplings, rolling …

Lageo: a latent and geometrical framework for path and manipulation planning

P Zhou - 2022 - theses.lib.polyu.edu.hk
Path and manipulation planning has been gaining popularity within the robotics community
all the time due to its potential applications in many economically important applications. In …

Morse graphs: Topological tools for analyzing the global dynamics of robot controllers

ER Vieira, E Granados, A Sivaramakrishnan… - … Workshop on the …, 2022 - Springer
Understanding the global dynamics of a robot controller, such as identifying attractors and
their regions of attraction (RoA), is important for safe deployment and synthesizing more …

Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees

ER Vieira, A Sivaramakrishnan, Y Song… - … on Robotics and …, 2023 - ieeexplore.ieee.org
This paper proposes an integration of surrogate modeling and topology to significantly
reduce the amount of data required to describe the underlying global dynamics of robot …

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 …

Dynamic Manipulation of Deformable Objects using Imitation Learning with Adaptation to Hardware Constraints

E Hannus, TN Le, D Blanco-Mulero, V Kyrki - arXiv preprint arXiv …, 2024 - arxiv.org
Imitation Learning (IL) is a promising paradigm for learning dynamic manipulation of
deformable objects since it does not depend on difficult-to-create accurate simulations of …

[PDF][PDF] Representing clothing items for robotics tasks

M Moletta, MC Welle… - … Royal Institute of …, 2022 - cloth-representation.github.io
We study the problem of clothing item representation and build upon our recent work to
perform a comparative study of the most commonly used representations of clothing items …

Learning dynamic bag manipulation from human demonstration

E Hannus - 2024 - aaltodoc.aalto.fi
Robotic manipulation of deformable objects has been a major focus in recent research. As
these objects are ubiquitously encountered in settings like logistics, healthcare, and …

Analysis of Computer Experiments With Applications in Material Science, Robotics and Inverse Problem

Y Song - 2023 - search.proquest.com
Computer experiments have emerged as a powerful approach for studying real-world
systems through the utilization of complex mathematical models. These experiments have …