Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Lorenzo Vannucci"'
Autor:
Lorenzo Andreani, Edoardo Ipponi, Federico Falcinelli, Sara Barderi, Lorenzo Vannucci, Francesco Rosario Campo, Antonio D’Arienzo, Paolo Domenico Parchi
Publikováno v:
Healthcare, Vol 11, Iss 22, p 2984 (2023)
Background and Objectives: Megaprostheses are the most used reconstructive approach for patients who have undergone massive resection of their distal femurs due to bone tumors. Although the literature about their outcomes has flourished in recent dec
Externí odkaz:
https://doaj.org/article/b0905ced12ab4e9499d550f2d034e562
Autor:
Anna Letizia Allegra Mascaro, Egidio Falotico, Spase Petkoski, Maria Pasquini, Lorenzo Vannucci, Núria Tort-Colet, Emilia Conti, Francesco Resta, Cristina Spalletti, Shravan Tata Ramalingasetty, Axel von Arnim, Emanuele Formento, Emmanouil Angelidis, Camilla H. Blixhavn, Trygve B. Leergaard, Matteo Caleo, Alain Destexhe, Auke Ijspeert, Silvestro Micera, Cecilia Laschi, Viktor Jirsa, Marc-Oliver Gewaltig, Francesco S. Pavone
Publikováno v:
Frontiers in Systems Neuroscience, Vol 14 (2020)
Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to mode
Externí odkaz:
https://doaj.org/article/0d549ace2a884738b5809c51419088f6
Autor:
Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
In traditional robotics, model-based controllers are usually needed in order to bring a robotic plant to the next desired state, but they present critical issues when the dimensionality of the control problem increases and disturbances from the exter
Externí odkaz:
https://doaj.org/article/4d09fd6ab12a4881ad70f4395ce1049c
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Connecting biologically inspired neural simulations to physical or simulated embodiments can be useful both in robotics, for the development of a new kind of bio-inspired controllers, and in neuroscience, to test detailed brain models in complete act
Externí odkaz:
https://doaj.org/article/a9390d7ef16049448df367b26a7061b5
Publikováno v:
Robot Intelligence Technology and Applications 6 ISBN: 9783030976712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dff662441a3831eba6061c41cad5ab4
http://hdl.handle.net/11382/546232
http://hdl.handle.net/11382/546232
Publikováno v:
Bioinspiration & Biomimetics, Vol. 16, No. 1
Cerebellar synaptic plasticity is vital for adaptability and fine tuning of goal-directed movements. The perceived sensory errors between desired and actual movement outcomes are commonly considered to induce plasticity in the cerebellar synapses, wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2341a87de5c9db42507fe151ffcc0e7
http://hdl.handle.net/11382/539934
http://hdl.handle.net/11382/539934
Autor:
Lorenzo Vannucci, Ugo Albanese, Murat Kirtay, Elisa Massi, Stefano Nardo, Matteo Priorelli, Alessio Fasano, Cecilia Laschi, Egidio Falotico
The Neurorobotics Platform is a simulation software aimed at facilitating mutual interactions between robotics and neuroscientific studies. This tool allows roboticists and neuroscientists to fill the gap between the two disciplines by easing the job
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8381380a9199b6c51a0656256eab204b
Autor:
Egidio Falotico, Angelo Maria Sabatini, Gabriel Urbain, Cecilia Laschi, Lorenzo Vannucci, Elisa Massi, Alexander Vandesompele, Silvia Tolu, Joni Dambre, Ugo Albanese, Marie Claire Capolei
Publikováno v:
Frontiers in Neurorobotics
Massi, E, Vannucci, L, Albanese, U, Capolei, M C, Vandesompele, A, Urbain, G, Maria Sabatini, A, Dambre, J, Laschi, C, Tolu, S & Falotico, E 2019, ' Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion ', Frontiers in Neurorobotics, vol. 13, 71 . https://doi.org/10.3389/fnbot.2019.00071
FRONTIERS IN NEUROROBOTICS
Frontiers in Neurorobotics, Vol 13 (2019)
Massi, E, Vannucci, L, Albanese, U, Capolei, M C, Vandesompele, A, Urbain, G, Maria Sabatini, A, Dambre, J, Laschi, C, Tolu, S & Falotico, E 2019, ' Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion ', Frontiers in Neurorobotics, vol. 13, 71 . https://doi.org/10.3389/fnbot.2019.00071
FRONTIERS IN NEUROROBOTICS
Frontiers in Neurorobotics, Vol 13 (2019)
In traditional robotics, model-based controllers are usually needed in order to bring a robotic plant to the next desired state, but they present critical issues when the dimensionality of the control problem increases and disturbances from the exter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5031badfa741e966ef78b9f72012e728
http://hdl.handle.net/11382/529996
http://hdl.handle.net/11382/529996
Autor:
Cecilia Laschi, Silvia Tolu, Egidio Falotico, Lorenzo Vannucci, Marie Claire Capolei, Mauricio Vanegas Hernández
Publikováno v:
Tolu, S, Capolei, M C, Vannucci, L, Laschi, C, Falotico, E & Hernandez, M V 2020, ' A Cerebellum-Inspired Learning Approach for Adaptive and Anticipatory Control ', International Journal of Neural Systems, vol. 30, no. 1, 1950028 . https://doi.org/10.1142/S012906571950028X
International Journal of Neural Systems
International Journal of Neural Systems
The cerebellum, which is responsible for motor control and learning, has been suggested to act as a Smith predictor for compensation of time-delays by means of internal forward models. However, insights about how forward model predictions are integra
Autor:
Henning Groenda, Egidio Falotico, Nino Cauli, Georg Hinkel, Rüdiger Dillmann, Ralf Reussner, Lorenzo Vannucci, Marc-Oliver Gewaltig, Sebastian Krach, Oliver Denninger, Arne Roennau, Cecilia Laschi, Stefan Ulbrich, Alois Knoll
Publikováno v:
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems, 85 (1), 71-91
Journal of Intelligent & Robotic Systems, 85 (1), 71-91
Bio-inspired robots still rely on classic robot control although advances in neurophysiology allow adaptation to control as well. However, the connection of a robot to spiking neuronal networks needs adjustments for each purpose and requires frequent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::319401ee2b66a44d331414074d7f1ea8
http://hdl.handle.net/11382/514865
http://hdl.handle.net/11382/514865