Zobrazeno 1 - 10
of 165
pro vyhledávání: '"carlo alberto avizzano"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Several datasets have been proposed in the literature, focusing on object detection and pose estimation. The majority of them are interested in recognizing isolated objects or the pose of objects in well-organized scenarios. This work introduces a no
Externí odkaz:
https://doaj.org/article/fb54184a481a46c2bf079a7441ca00cd
Autor:
Cristian Camardella, Vittorio Lippi, Francesco Porcini, Giulia Bassani, Lucia Lencioni, Christoph Mauer, Christian Haverkamp, Carlo Alberto Avizzano, Antonio Frisoli, Alessandro Filippeschi
Publikováno v:
Sensors, Vol 24, Iss 16, p 5358 (2024)
Using lower limb exoskeletons provides potential advantages in terms of productivity and safety associated with reduced stress. However, complex issues in human–robot interactions are still open, such as the physiological effects of exoskeletons an
Externí odkaz:
https://doaj.org/article/e49ddb4257a54990bc425e8586433780
Autor:
Michael Mugnai, Massimo Teppati Losé, Edwin Paúl Herrera-Alarcón, Gabriele Baris, Massimo Satler, Carlo Alberto Avizzano
Publikováno v:
Drones, Vol 7, Iss 7, p 471 (2023)
Nowadays, multirotors are versatile systems that can be employed in several scenarios, where their increasing autonomy allows them to achieve complex missions without human intervention. This paper presents a framework for autonomous missions with lo
Externí odkaz:
https://doaj.org/article/c15715708c2f4879bca6a29ec8223984
Autor:
Riccardo Bezzini, Luca Crosato, Massimo Teppati Losè, Carlo Alberto Avizzano, Massimo Bergamasco, Alessandro Filippeschi
Publikováno v:
Sensors, Vol 23, Iss 13, p 5885 (2023)
Despite the automatization of many industrial and logistics processes, human workers are still often involved in the manual handling of loads. These activities lead to many work-related disorders that reduce the quality of life and the productivity o
Externí odkaz:
https://doaj.org/article/c9564ca67ff0400e86c30866eb4f9095
Publikováno v:
IEEE Access, Vol 9, Pp 154011-154021 (2021)
This work introduces a novel algorithm for the reconstruction of rolling stocks from a sequence of images. The research aims at producing an accurate and wide image model that can be used as a Digital Twin (DT) for diagnosis, fault prediction, mainte
Externí odkaz:
https://doaj.org/article/0a3558d80d294bc99b87caf5b776fd22
Autor:
Paolo Tripicchio, Salvatore D’Avella, Gerardo Camacho-Gonzalez, Lorenzo Landolfi, Gabriele Baris, Carlo Alberto Avizzano, Alessandro Filippeschi
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 11, Iss 3, p 40 (2022)
Calibrating intrinsic and extrinsic camera parameters is a fundamental problem that is a preliminary task for a wide variety of applications, from robotics to computer vision to surveillance and industrial tasks. With the advent of Internet of Things
Externí odkaz:
https://doaj.org/article/df9856d9fb16478f962df6366d602de3
Publikováno v:
Robotics, Vol 10, Iss 1, p 8 (2021)
Tele-examination based on robotic technologies is a promising solution to solve the current worsening shortage of physicians. Echocardiography is among the examinations that would benefit more from robotic solutions. However, most of the state-of-the
Externí odkaz:
https://doaj.org/article/ff6ab06c2ed44ed8b13f19c40dc50a64
Publikováno v:
Sensors, Vol 20, Iss 14, p 3877 (2020)
The assessment of risks due to biomechanical overload in manual material handling is nowadays mainly based on observational methods in which an expert rater visually inspects videos of the working activity. Currently available sensing wearable techno
Externí odkaz:
https://doaj.org/article/226cb510d8294b74b730874c00cb428f
Autor:
Alberto Remus, Francesco Di Felice, Carlo Alberto AVIZZANO, Salvatore D'Avella, Paolo Tripicchio
Publikováno v:
IEEE Robotics and Automation Letters. 8:1515-1522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0da93d9d7dd58354087957f265d6de
https://doi.org/10.1109/lra.2023.3240362
https://doi.org/10.1109/lra.2023.3240362
Autor:
Filippeschi, Riccardo Bezzini, Luca Crosato, Massimo Teppati Losè, Carlo Alberto Avizzano, Massimo Bergamasco, Alessandro
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 5885
Despite the automatization of many industrial and logistics processes, human workers are still often involved in the manual handling of loads. These activities lead to many work-related disorders that reduce the quality of life and the productivity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::eafbd00e5657335232de5a8eec84ca72