Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ugo Pattacini"'
Autor:
Valentina Vasco, Alexandre G. P. Antunes, Vadim Tikhanoff, Ugo Pattacini, Lorenzo Natale, Valerio Gower, Marco Maggiali
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
According to the World Health Organization1,2 the percentage of healthcare dependent population, such as elderly and people with disabilities, among others, will increase over the next years. This trend will put a strain on the health and social syst
Externí odkaz:
https://doaj.org/article/3b235ee87185401da962619ba0af6392
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties. Modern soft tactile sensors allow perceiving orthogonal forces and, in some cases, relative motions along the surface
Externí odkaz:
https://doaj.org/article/1f99bf2759c94d3f960c251543c29150
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
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0163713 (2016)
This paper investigates a biologically motivated model of peripersonal space through its implementation on a humanoid robot. Guided by the present understanding of the neurophysiology of the fronto-parietal system, we developed a computational model
Externí odkaz:
https://doaj.org/article/20b40be462eb4410913e76c7455f118d
Publikováno v:
IEEE Robotics & Automation Magazine. :2-13
Autor:
Agnieszka Wykowska, Cesco Willemse, Pauline Chevalier, Valentina Vasco, Ugo Pattacini, Vadim Tikhanoff, Davide De Tommaso
Publikováno v:
Paladyn: Journal of Behavioral Robotics, Vol 12, Iss 1, Pp 199-213 (2021)
We investigated the influence of visual sensitivity on the performance of an imitation task with the robot R1 in its virtual and physical forms. Virtual and physical embodiments offer different sensory experience to the users. As all individuals resp
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Frontiers in Robotics and AI
Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties. Modern soft tactile sensors allow perceiving orthogonal forces and, in some cases, relative motions along the surface
6D object pose tracking has been extensively studied in the robotics and computer vision communities. The most promising solutions, leveraging on deep neural networks and/or filtering and optimization, exhibit notable performance on standard benchmar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f4a14db49590459d78161b6390033af
Publikováno v:
Frontiers Research Topics ISBN: 9782889635412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673ec8eb31f6b9c3381fe9d479f883f2
https://doi.org/10.3389/978-2-88963-541-2
https://doi.org/10.3389/978-2-88963-541-2
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