REMODEL. WP5. Cable Manipulation Planning Execution And Interactive Perception. T5_2. Cable Grasping. Identification and Grasping of Deformable Objects. v0

Caporali, Alessio ; Gianluca, Palli (2020) REMODEL. WP5. Cable Manipulation Planning Execution And Interactive Perception. T5_2. Cable Grasping. Identification and Grasping of Deformable Objects. v0. University of Bologna. DOI 10.6092/unibo/amsacta/6659. [Dataset]
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Abstract

The dataset contains the source code and pointclouds utilized during the experiments carried out concerning the optimal identification of grasping poses in clothes, associated to the related publication: A. Caporali and G. Palli, "Pointcloud-based Identification of Optimal Grasping Poses for Cloth-like Deformable Objects," 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, 2020, pp. 581-586, doi: 10.1109/ETFA46521.2020.9211879.

Abstract
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Caporali, AlessioUniversity of Bologna
Gianluca, PalliUniversity of Bologna
Settori scientifico-disciplinari
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 Automatica
DOI
10.6092/unibo/amsacta/6659
Contributors
Contributor
Affiliazione
Tipo
Caporali, Alessio
University of Bologna
Contact person
Data di deposito
20 Apr 2021 09:18
Ultima modifica
20 Apr 2021 09:21
Risorse collegate
Tipologia
Relazione
Identificativo
DOI
è un supplemento di
Nome del Progetto
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Programma di finanziamento
EC - H2020
URI
https://amsacta.unibo.it/id/eprint/6659

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