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20192022
most citedThe dGLI Cloth Coordinates: A Topological Representation for Semantic Classification of Cloth States

2 citations · 3 across the 3 of their papers we have counts for

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cs.RO2022

Model Predictive Control for Dynamic Cloth Manipulation: Parameter Learning and Experimental Validation

Adrià Luque, David Parent, Adrià Colomé +2

Robotic cloth manipulation is a relevant challenging problem for autonomous robotic systems. Highly deformable objects as textile items can adopt multiple configurations and shapes…

cs.RO20222 cited

The dGLI Cloth Coordinates: A Topological Representation for Semantic Classification of Cloth States

Franco Coltraro, Josep Fontana, Jaume Amorós +3

Robotic manipulation of cloth is a highly complex task because of its infinite-dimensional shape-state space that makes cloth state estimation very difficult. In this paper we intr…

cs.RO20211 cited

An Inextensible Model for Robotic Simulations of Textiles

Franco Coltraro, Jaume Amorós, Maria Alberich-Carramiñana +1

We introduce a new isometric strain model for the study of the dynamics of cloth garments in a moderate stress environment, such as robotic manipulation in the neighborhood of huma…

cs.RO2020

Task-Adaptive Robot Learning from Demonstration with Gaussian Process Models under Replication

Miguel Arduengo, Adrià Colomé, Júlia Borràs +2

Learning from Demonstration (LfD) is a paradigm that allows robots to learn complex manipulation tasks that can not be easily scripted, but can be demonstrated by a human teacher.…

cs.RO2019

Dynamic Cloth Manipulation with Deep Reinforcement Learning

Rishabh Jangir, Guillem Alenya, Carme Torras

In this paper we present a Deep Reinforcement Learning approach to solve dynamic cloth manipulation tasks. Differing from the case of rigid objects, we stress that the followed tra…

cs.RO2019

A Grasping-centered Analysis for Cloth Manipulation

Júlia Borràs, Guillem Alenya, Carme Torras

Compliant and soft hands have gained a lot of attention in the past decade because of their ability to adapt to the shape of the objects, increasing their effectiveness for graspin…