Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daniele De Gregorio"'
Autor:
Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano
Publikováno v:
IEEE Access, Vol 9, Pp 119755-119765 (2021)
Self-aware robots rely on depth sensing to interact with the surrounding environment, e.g. to pursue object grasping. Yet, dealing with tiny items, often occurring in industrial robotics scenarios, may represent a challenge due to lack of sensors yie
Externí odkaz:
https://doaj.org/article/ca511c346b7f4aaab7ee7db6014415a6
Autor:
Ilka Vinçon, Fedja J. Wendisch, Daniele De Gregorio, Stefanie D. Pritzl, Quinten A. Akkerman, Haoran Ren, Leonardo de S. Menezes, Stefan A. Maier, Jochen Feldmann
Publikováno v:
ACS Photonics. 9:3506-3514
With their unique optoelectronic properties, perovskite nanocrystals are highly advantageous semiconductor materials for tailored light applications including an interaction with circularly polarized light. Although chiral perovskite nanocrystals hav
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99c4ed9fcadb2af3bd839ab80493705
https://doi.org/10.1007/978-3-031-26348-4_27
https://doi.org/10.1007/978-3-031-26348-4_27
Autor:
Ilka Vinçon, Fedja J. Wendisch, Daniele de Gregorio, Stefanie D. Pritzl, Quinten A. Akkerman, Haoran Ren, Leonardo de S. Menezes, Stefan A. Maier, Jochen Feldmann
Publikováno v:
Proceedings of the MATSUS23 & Sustainable Technology Forum València (STECH23).
Autor:
Luigi Lella, Luigi Di Stefano, Luca De Luigi, Claudio Paternesi, Pierluigi Zama Ramirez, Daniele De Gregorio
Publikováno v:
AIVR
Availability of a few, large-size, annotated datasets, like ImageNet, Pascal VOC and COCO, has lead deep learning to revolutionize computer vision research by achieving astonishing results in several vision tasks. We argue that new tools to facilitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc32b6e24b6061c3be4bf3dd9478bf00
https://hdl.handle.net/11585/806564
https://hdl.handle.net/11585/806564
Autor:
Riccardo Zanella, Maurizio Indovini, Claudio Melchiorri, Gianluca Palli, Daniele De Gregorio, Salvatore Pirozzi
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783030223267
ECHORD
ECHORD
This chapter reports an overview of the experience and the results achieved during the development of the robotized system for switchgear wiring carried out in the WIRES experiment. This specific application is particularly challenging for a robotic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7b74a4d5e71345699fdbfb32a524ab7
http://hdl.handle.net/11585/768610
http://hdl.handle.net/11585/768610
In this article, we propose an augmented reality semiautomatic labeling (ARS), a semiautomatic method which leverages on moving a 2-D camera by means of a robot, proving precise camera tracking, and an augmented reality pen (ARP) to define initial ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73998cad1ba8f988cd3ea59859515bb2
https://hdl.handle.net/11585/702376
https://hdl.handle.net/11585/702376
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation
Publikováno v:
Alma Mater Studiorum Università di Bologna-IRIS
While robotic manipulation of rigid objects is quite straightforward, coping with deformable objects is an open issue. More specifically, tasks like tying a knot, wiring a connector or even surgical suturing deal with the domain of Deformable Linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3b01aea7a7858323447192208504d4
http://hdl.handle.net/11585/678409
http://hdl.handle.net/11585/678409
Publikováno v:
ICCV Workshops
We introduce SkiMap++, an extension to the recently proposed SkiMap mapping framework for robot navigation . The extension deals with enriching the map with se- mantic information concerning the presence in the environ- ment of certain objects that m
Publikováno v:
RoMoCo
In this article we present a factorization-based myoelectric proportional control that uses surface skin electromyographic (sEMG) measurements to estimate the hand closure level of a user for telemanipulation purposes. The sEMG-based proportional con