REMODEL. WP4. Vision-based Perception. T4_3. Cable detection and tracking. 3D DLO Shape Detection and Grasp Planning from Multiple 2D Views. v0

Caporali, Alessio ; Galassi, Kevin ; Palli, Gianluca (2021) REMODEL. WP4. Vision-based Perception. T4_3. Cable detection and tracking. 3D DLO Shape Detection and Grasp Planning from Multiple 2D Views. v0. University of Bologna. DOI 10.6092/unibo/amsacta/6767. [Dataset]
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Abstract

The dataset contains the 3D estimation results of a method for 3D shape detection and grasp planning of deformable linear objects. In particular, the data are used to evaluate the different trajectory (linear and angular) approach for the evaluation of the DLO shape with different number of acquisitions. Other test involves the evaluation of the quality and the usability of the reconstruction by grasping the detected object. The data contains information about the starting point of the trajectories and the result using a different number of samples. More specific information about the method and the result can be found in the paper: A. Caporali, K. Galassi and G. Palli, "3D DLO Shape Detection and Grasp Planning from Multiple 2D Views," 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, pp. 424-429, doi: 10.1109/AIM46487.2021.9517655.

Abstract
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Caporali, AlessioUniversity of Bologna
Galassi, KevinUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Settori scientifico-disciplinari
DOI
Contributors
Contributor
Affiliazione
Tipo
Caporali, Alessio
University of Bologna
Contact person
Data di deposito
22 Set 2021 13:08
Ultima modifica
22 Set 2021 13:08
Risorse collegate
Tipologia
Relazione
Identificativo
Nome del Progetto
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Programma di finanziamento
EC - H2020
URI

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