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]
Full text available as:
[img] Archive (REMODEL_WP5_T5.2.2_dataset)
License: Creative Commons: Attribution 4.0 (CC BY 4.0)

Download (9MB)

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
Document type
Dataset
Creators
CreatorsAffiliationORCID
Caporali, AlessioUniversity of Bologna
Gianluca, PalliUniversity of Bologna
Subjects
DOI
Contributors
NameAffiliationORCIDType
Caporali, AlessioUniversity of BolognaContact person
Deposit date
20 Apr 2021 09:18
Last modified
20 Apr 2021 09:21
Related identifier
Related identifier typeRelation typeCode
DOIthis upload is supplement tohttps://doi.org/10.1109/ETFA46521.2020.9211879
Project name
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Funding program
EC - H2020
URI

Other metadata

Downloads

Downloads

Staff only: View the document

^