REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5_5. Interactive perception. Interactive Labeling of Deformable Linear Objects. v0

Caporali, Alessio ; Palli, Gianluca (2023) REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5_5. Interactive perception. Interactive Labeling of Deformable Linear Objects. v0. University of Bologna. DOI 10.6092/unibo/amsacta/7150. [Dataset]
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Abstract

The dataset contains the source code, model weights and a set of input points, camera poses and images utilized for the experimental validation on the labeling of deformable linear objects, associated to a novel algorithm called DLO-WSL. The proposed approach uses deep learning techniques aiming at the precise creation of instance masks of deformable linear objects starting from the input points provided by a user. The source code comprises a deep convolutional neural network employed for computing the correction offset to be applied at the input points. The dataset is associated with the related publication: A. Caporali, M. Pantano, L. Janisch, D. Regulin, G. Palli and D. Lee, "A Weakly Supervised Semi-Automatic Image Labeling Approach for Deformable Linear Objects," in IEEE Robotics and Automation Letters, vol. 8, no. 2, pp. 1013-1020, Feb. 2023, doi: 10.1109/LRA.2023.3234799.

Abstract
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Caporali, AlessioUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Settori scientifico-disciplinari
DOI
Contributors
Contributor
Affiliazione
Tipo
Caporali, Alessio
University of Bologna
Contact person
Data di deposito
30 Gen 2023 10:00
Ultima modifica
30 Gen 2023 10:00
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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