Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Udaya Bhaskar Rongala"'
Autor:
Udaya Bhaskar Rongala, Alberto Mazzoni, Marcello Chiurazzi, Domenico Camboni, Mario Milazzo, Luca Massari, Gastone Ciuti, Stefano Roccella, Paolo Dario, Calogero Maria Oddo
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Generalization ability in tactile sensing for robotic manipulation is a prerequisite to effectively perform tasks in ever-changing environments. In particular, performing dynamic tactile perception is currently beyond the ability of robotic devices.
Externí odkaz:
https://doaj.org/article/38bb16bf52ff47858f59277d899420fb
Autor:
Renato Caliò, Udaya Bhaskar Rongala, Domenico Camboni, Mario Milazzo, Cesare Stefanini, Gianluca de Petris, Calogero Maria Oddo
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4755-4790 (2014)
This paper reviews the state of the art in piezoelectric energy harvesting. It presents the basics of piezoelectricity and discusses materials choice. The work places emphasis on material operating modes and device configurations, from resonant to no
Externí odkaz:
https://doaj.org/article/c514d22a85814b12953454b2a6088e7b
It has been shown that the skin can provide highly resolvable, dynamic tactile information to the central nervous system. However, currently available skin models do not provide a matching level of dynamic complexity. Motivated by recent observations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a1b744a4815ce076626df51fb68930
https://doi.org/10.1101/2021.09.06.459180
https://doi.org/10.1101/2021.09.06.459180
Autor:
Gastone Ciuti, Calogero Maria Oddo, Paolo Dario, Marcello Chiurazzi, Domenico Camboni, Udaya Bhaskar Rongala, Alberto Mazzoni, Mario Milazzo, Luca Massari, Stefano Roccella
Publikováno v:
Frontiers in Neurorobotics
Frontiers in Neurorobotics, Vol 13 (2019)
Frontiers in Neurorobotics, Vol 13 (2019)
Generalization ability in tactile sensing for robotic manipulation is a prerequisite to effectively perform tasks in ever-changing environments. In particular, performing dynamic tactile perception is currently beyond the ability of robotic devices.
Autor:
Maria Chiara Carrozza, Loredana Zollo, Udaya Bhaskar Rongala, Calogero Maria Oddo, Domenico Camboni, Alberto Mazzoni, Eugenio Guglielmelli, Rocco Antonio Romeo
The effort toward replicating human skills into artificial systems is growing constantly. While artificial vision has reached a certain reliability, the sense of touch is still hard to introduce into robotic devices. Human manipulation comprises a se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebb95530ee74e76e9590b8d060191f20
http://hdl.handle.net/11382/527095
http://hdl.handle.net/11382/527095
Autor:
Calogero Maria Oddo, Henrik Jörntell, Fredrik Bengtsson, Udaya Bhaskar Rongala, Anton Spanne, Alberto Mazzoni
Publikováno v:
Frontiers in Cellular Neuroscience
Frontiers in Cellular Neuroscience, Vol 12 (2018)
Frontiers in Cellular Neuroscience, Vol 12 (2018)
How the brain represents the external world is an unresolved issue for neuroscience, which could provide fundamental insights into brain circuitry operation and solutions for artificial intelligence and robotics. The neurons of the cuneate nucleus fo
Autor:
Calogero Maria Oddo, Domenico Camboni, Maria Chiara Carrozza, Udaya Bhaskar Rongala, Alberto Mazzoni
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783319609157
ISRR (2)
ISRR (2)
The development of a neuromorphic artificial sense of touch is presented. The system allows to code tactile information by means of a sequence of spikes, mimicking the neural dynamics of SA and FA human mechanoreceptors. The developed neuromorphic fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4219bd3cb26fccf694b0a5d9cd6798
http://hdl.handle.net/11382/527748
http://hdl.handle.net/11382/527748
Autor:
Gianluca De Petris, Domenico Camboni, Cesare Stefanini, Udaya Bhaskar Rongala, Calogero Maria Oddo, Mario Milazzo, Renato Caliò
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 14, Iss 3, Pp 4755-4790 (2014)
Sensors, Vol 14, Iss 3, Pp 4755-4790 (2014)
This paper reviews the state of the art in piezoelectric energy harvesting. It presents the basics of piezoelectricity and discusses materials choice. The work places emphasis on material operating modes and device configurations, from resonant to no
Publikováno v:
IEEE transactions on neural networks and learning systems. 28(4)
We implemented neuromorphic artificial touch and emulated the firing behavior of mechanoreceptors by injecting the raw outputs of a biomimetic tactile sensor into an Izhikevich neuronal model. Naturalistic textures were evaluated with a passive touch
Publikováno v:
BMC Neuroscience
Significant advances were recently achieved in the bidirectional control of upper limb neuroprostheses [1], however implementing a realistic tactile feedback on artificial hands is still an open challenge [2]. We target this ambition with a neuromorp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4d24c7d5f855b48a406bf640613e85
http://hdl.handle.net/11382/510570
http://hdl.handle.net/11382/510570