Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Giulia Vezzani"'
Autor:
Nicola A. Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Tracking the 6D pose and velocity of objects represents a fundamental requirement for modern robotics manipulation tasks. This paper proposes a 6D object pose tracking algorithm, called MaskUKF, that combines deep object segmentation networks and dep
Externí odkaz:
https://doaj.org/article/b9c3c1d57a4f434b8b795326a9fa5fda
Autor:
Giulia Vezzani, Lorenzo Natale
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
This work provides a novel real-time pipeline for modeling and grasping of unknown objects with a humanoid robot. Such a problem is of great interest for the robotic community, since conventional approaches fail when the shape, dimension, or pose of
Externí odkaz:
https://doaj.org/article/d933f03fa6454e7db3ba3cbd98aa72c4
Publikováno v:
IEEE Robotics and Automation Letters
The use of benchmarks is a widespread and scientifically meaningful practice to validate performance of different approaches to the same task. In the context of robot grasping the use of common object sets has emerged in recent years, however no domi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93ada4d26a218373c2e6282762c337f4
Publikováno v:
Advanced Robotics. 31:1267-1280
This paper addresses the problem of bi-manual object handover with a humanoid robot, i.e. the task of passing objects from one hand to the other. Bi-manual coordination is fundamental for i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f03a7ed0ded7758d23bf84af6734078
https://doi.org/10.1080/01691864.2017.1380535
https://doi.org/10.1080/01691864.2017.1380535
Autor:
Shigeki Sugano, Alexander Schmitz, Alexis Carlos Holgado, Tito Pradhono Tomo, Nicola A. Piga, Giulia Vezzani, Lorenzo Natale
Publikováno v:
Humanoids
The humanoid robot iCub is currently equipped with an array of capacitive sensors that provide pressure information throughout the body of the robot. Even though for some applications this type of data is sufficient, it is not always the case for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cdc73a7cd1be5291b648bab37d2b0f8
https://doi.org/10.1109/humanoids43949.2019.9035062
https://doi.org/10.1109/humanoids43949.2019.9035062
Autor:
Vikash Kumar, John Schulman, Emanuel Todorov, Aravind Rajeswaran, Giulia Vezzani, Abhishek Gupta, Sergey Levine
Publikováno v:
Robotics: Science and Systems
Dexterous multi-fingered hands are extremely versatile and provide a generic way to perform a multitude of tasks in human-centric environments. However, effectively controlling them remains challenging due to their high dimensionality and large numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11aa77bddc401c89ba65bb45479f03fe
https://doi.org/10.15607/rss.2018.xiv.049
https://doi.org/10.15607/rss.2018.xiv.049
Publikováno v:
ICRA
This paper proposes an object modeling and grasping pipeline for humanoid robots. This work improves our previous approach based on superquadric functions. In particular, we speed up and refine the modeling process by using prior information on the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13cea7168415f9571834941580d90e9d
https://doi.org/10.1109/icra.2018.8463161
https://doi.org/10.1109/icra.2018.8463161
Publikováno v:
ICRA
This paper addresses the problem of grasping unknown objects with a humanoid robot. Conventional approaches fail when the shape, dimension or pose of the objects are missing. We propose a novel approach in which the grasping problem is solved by mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e9b9f964d476940d907c3bf6b74ea39
https://doi.org/10.1109/icra.2017.7989187
https://doi.org/10.1109/icra.2017.7989187
Publikováno v:
ICRA
To precisely reach for an object with a humanoid robot, it is of central importance to have good knowledge of both end-effector, object pose and shape. In this work we propose a framework for markerless visual servoing on unknown objects, which is di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dbe882acbbcfd0581568375aaa57500
Autor:
Luigi Chisci, Lorenzo Natale, Nawid Jamali, Giulia Vezzani, Ugo Pattacini, Giorgio Battistelli
Publikováno v:
Humanoids
This paper addresses tactile object recognition, i.e. the identification of an object among a set of known objects, given tactile measurements. The solution of this problem can improve perception capabilities of autonomous robots and complement visio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::892ff01e96a7afbea020d0f48793f808
https://doi.org/10.1109/humanoids.2016.7803286
https://doi.org/10.1109/humanoids.2016.7803286