Zobrazeno 1 - 10
of 608
pro vyhledávání: '"Antonio Bicchi"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of adapting a ro
Externí odkaz:
https://doaj.org/article/dbe780d0fa4b455cade17e4b3040a64d
Autor:
Fanyi Kong, Grazia Zambella, Simone Monteleone, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi
Publikováno v:
IEEE Access, Vol 12, Pp 48108-48125 (2024)
This paper presents an aerial platform capable of performing physically interactive tasks in unstructured environments with human-like dexterity under human supervision. This aerial platform consists of a humanoid torso attached to a hexacopter. A tw
Externí odkaz:
https://doaj.org/article/ae067889a9674ba9b3c266f624213608
Autor:
Colleen P. Ryan, Simone Ciotti, Priscilla Balestrucci, Antonio Bicchi, Francesco Lacquaniti, Matteo Bianchi, Alessandro Moscatelli
Publikováno v:
iScience, Vol 27, Iss 6, Pp 109871- (2024)
Summary: For dexterous control of the hand, humans integrate sensory information and prior knowledge regarding their bodies and the world. We studied the role of touch in hand motor control by challenging a fundamental prior assumption—that self-mo
Externí odkaz:
https://doaj.org/article/8ab5acf6c33042379acb4dc75f88b708
Publikováno v:
Robotics, Vol 13, Iss 4, p 58 (2024)
The objective of this paper is to propose a framework for a robot to learn multiple Sensory-Motor Contingencies from human demonstrations and reproduce them. Sensory-Motor Contingencies are a concept that describes intelligent behavior of animals and
Externí odkaz:
https://doaj.org/article/eef200d5b45d49a0bae618e8a50868a1
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-17 (2023)
Abstract Background Among commercially-available upper-limb prostheses, the two most often used solutions are simple hook-style grippers and poly-articulated hands, which present a higher number of articulations and show a closer resemblance to biolo
Externí odkaz:
https://doaj.org/article/36d561b7492a463a869c21a0bd0dab0b
Autor:
Carlo Trompetto, Manuel G. Catalano, Alessandro Farina, Giorgio Grioli, Laura Mori, Andrea Ciullo, Matteo Pittaluga, Martina Rossero, Luca Puce, Antonio Bicchi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract In patients with subacute stroke, task specific training (TST) has been shown to accelerate functional recovery of the upper limb. However, many patients do not have sufficient active extension of the fingers to perform this treatment. In th
Externí odkaz:
https://doaj.org/article/c8868f7ccc9c4341bd13c256bffb1f68
Autor:
Christoph M. Kanzler, Giuseppe Averta, Anne Schwarz, Jeremia P. O. Held, Roger Gassert, Antonio Bicchi, Marco Santello, Olivier Lambercy, Matteo Bianchi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Characterizing post-stroke impairments in the sensorimotor control of arm and hand is essential to better understand altered mechanisms of movement generation. Herein, we used a decomposition algorithm to characterize impairments in end-effe
Externí odkaz:
https://doaj.org/article/f6ccce399a4b4f869b15fb8547104503
Autor:
Patricia Capsi-Morales, Cristina Piazza, Lis Sjoberg, Manuel G. Catalano, Giorgio Grioli, Antonio Bicchi, Liselotte M. Hermansson
Publikováno v:
PLoS ONE, Vol 18, Iss 8 (2023)
Although recent technological developments in the field of bionic upper limb prostheses, their rejection rate remains excessively high. The reasons are diverse (e.g. lack of functionality, control complexity, and comfortability) and most of these are
Externí odkaz:
https://doaj.org/article/c964eed35b3f4aee970fe7cd0d12397d
Autor:
Federica Barontini, Meegan Van Straaten, Manuel G Catalano, Andrew Thoreson, Cesar Lopez, Ryan Lennon, Matteo Bianchi, Karen Andrews, Marco Santello, Antonio Bicchi, Kristin Zhao
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285081 (2023)
Grasping an object is one of the most common and complex actions performed by humans. The human brain can adapt and update the grasp dynamics through information received from sensory feedback. Prosthetic hands can assist with the mechanical performa
Externí odkaz:
https://doaj.org/article/d6521a0b14a2410e9dbc7b868599fee2
Autor:
Simone Monteleone, Francesca Negrello, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi, Manolo Garabini
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2023)
Robots that work in unstructured scenarios are often subjected to collisions with the environment or external agents. Accordingly, recently, researchers focused on designing robust and resilient systems. This work presents a framework that quantitati
Externí odkaz:
https://doaj.org/article/1adf86a7994944af8e2b0ab9d60a9515