Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alexander Vandesompele"'
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 Neurorobotics, Vol 13 (2019)
Designing controllers for compliant, underactuated robots is challenging and usually requires a learning procedure. Learning robotic control in simulated environments can speed up the process whilst lowering risk of physical damage. Since perfect sim
Externí odkaz:
https://doaj.org/article/0464ae8f15e9429aacd3cf988a1dfc3f
Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped
Publikováno v:
COGNITIVE SYSTEMS RESEARCH
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using the physical reservoir computing framework. By feeding sensor signals to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95927e538473835227cfd1fc994e7482
https://doi.org/10.1016/j.cogsys.2019.08.002
https://doi.org/10.1016/j.cogsys.2019.08.002
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
ICANN (2)
Biological neurons possess elaborate dendrites that perform elaborate computations. They are however ignored in the widely used point neuron models. Here, we present a simple addition to the commonly used leaky integrate-and-fire model that introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e21a87d2c706ea6db045a330e897591
https://doi.org/10.1007/978-3-030-61616-8_48
https://doi.org/10.1007/978-3-030-61616-8_48
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030257187
BICA
Biologically Inspired Cognitive Architectures 2019-Proceedings of the Tenth Annual Meeting of the BICA Society
Biologically inspired cognitive architectures 2019
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Biologically Inspired Cognitive Architectures 2019
BICA
Biologically Inspired Cognitive Architectures 2019-Proceedings of the Tenth Annual Meeting of the BICA Society
Biologically inspired cognitive architectures 2019
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Biologically Inspired Cognitive Architectures 2019
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using the physical reservoir computing framework. By feeding sensor signals to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01b4ccaf0240365082fe4c92278d0c15
https://doi.org/10.1007/978-3-030-25719-4_71
https://doi.org/10.1007/978-3-030-25719-4_71
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
Publikováno v:
FROM ANIMALS TO ANIMATS 15
Lecture Notes in Computer Science
Lecture Notes in Computer Science-From Animals to Animats 15
From Animals to Animats 15 ISBN: 9783319976273
SAB
From Animals to Animats 15-15th International Conference on Simulation of Adaptive Behavior, SAB 2018, Frankfurt/Main, Germany, August 14-17, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-From Animals to Animats 15
From Animals to Animats 15 ISBN: 9783319976273
SAB
From Animals to Animats 15-15th International Conference on Simulation of Adaptive Behavior, SAB 2018, Frankfurt/Main, Germany, August 14-17, 2018, Proceedings
Using passive compliance in robotic locomotion has been seen as a cheap and straightforward way of increasing the performance in energy consumption and robustness. However, the control for such systems remains quite challenging when using traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9748a246da88ad3d65b19620c9bcb4aa
https://hdl.handle.net/1854/LU-8571601
https://hdl.handle.net/1854/LU-8571601
Publikováno v:
SSCI
Neuro-evolutionary algorithms optimize the synaptic connectivity of sets of candidate neural networks based on a task-dependent fitness function. Compared to the commonly used methods from machine learning, many of them not only support the adaptatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28de48f9a6b31434a050fb945b895fc3
https://doi.org/10.1109/ssci.2016.7850250
https://doi.org/10.1109/ssci.2016.7850250
Publikováno v:
Frontiers in Neurorobotics
FRONTIERS IN NEUROROBOTICS
Frontiers in Neurorobotics, Vol 13 (2019)
FRONTIERS IN NEUROROBOTICS
Frontiers in Neurorobotics, Vol 13 (2019)
Designing controllers for compliant, underactuated robots is challenging and usually requires a learning procedure. Learning robotic control in simulated environments can speed up the process whilst lowering risk of physical damage. Since perfect sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c176b02ec2b5ad99a390abcd2437126e