Nino Cauli
Nino Cauli
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Cited by
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform
E Falotico, L Vannucci, A Ambrosano, U Albanese, S Ulbrich, ...
Frontiers in neurorobotics 11, 2, 2017
Human-centric artificial intelligence architecture for industry 5.0 applications
JM Rožanec, I Novalija, P Zajec, K Kenda, H Tavakoli Ghinani, S Suh, ...
International journal of production research 61 (20), 6847-6872, 2023
Control strategies for cleaning robots in domestic applications: A comprehensive review
J Kim, AK Mishra, R Limosani, M Scafuro, N Cauli, J Santos-Victor, ...
International Journal of Advanced Robotic Systems 16 (4), 1729881419857432, 2019
Survey on videos data augmentation for deep learning models
N Cauli, D Reforgiato Recupero
Future Internet 14 (3), 93, 2022
Adaptive visual pursuit involving eye-head coordination and prediction of the target motion
L Vannucci, N Cauli, E Falotico, A Bernardino, C Laschi
2014 IEEE-RAS International Conference on Humanoid Robots, 541-546, 2014
“iCub, clean the table!” A robot learning from demonstration approach using Deep Neural Networks
J Kim, N Cauli, P Vicente, B Damas, F Cavallo, J Santos-Victor
2018 IEEE international conference on autonomous robot systems andá…, 2018
A domain-specific language (DSL) for integrating neuronal networks in robot control
G Hinkel, H Groenda, L Vannucci, O Denninger, N Cauli, S Ulbrich
Proceedings of the 2015 Joint MORSE/VAO Workshop on Model-Driven Robotá…, 2015
Head stabilization in a humanoid robot: models and implementations
E Falotico, N Cauli, P Kryczka, K Hashimoto, A Berthoz, A Takanishi, ...
Autonomous Robots 41, 349-365, 2017
A framework for coupled simulations of robots and spiking neuronal networks
G Hinkel, H Groenda, S Krach, L Vannucci, O Denninger, N Cauli, ...
Journal of Intelligent & Robotic Systems 85, 71-91, 2017
Autonomous table-cleaning from kinesthetic demonstrations using Deep Learning
N Cauli, P Vicente, J Kim, B Damas, A Bernardino, F Cavallo, ...
2018 Joint IEEE 8th International Conference on Development and Learning andá…, 2018
A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation
L Vannucci, A Ambrosano, N Cauli, U Albanese, E Falotico, S Ulbrich, ...
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoidsá…, 2015
STARdom: an architecture for trusted and secure human-centered manufacturing systems
JM Rožanec, P Zajec, K Kenda, I Novalija, B Fortuna, D Mladenić, ...
Advances in Production Management Systems. Artificial Intelligence forá…, 2021
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
J Kim, N Cauli, P Vicente, B Damas, A Bernardino, J Santos-Victor, ...
Journal of Intelligent & Robotic Systems 98, 191-205, 2020
Head stabilization based on a feedback error learning in a humanoid robot
E Falotico, N Cauli, K Hashimoto, P Kryczka, A Takanishi, P Dario, ...
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Humaná…, 2012
Correcting for changes: Expected perception-based control for reaching a moving target
N Cauli, E Falotico, A Bernardino, J Santos-Victor, C Laschi
IEEE Robotics & Automation Magazine 23 (1), 63-70, 2016
An expected perception architecture using visual 3d reconstruction for a humanoid robot
N Moutinho, N Cauli, E Falotico, R Ferreira, J Gaspar, A Bernardino, ...
2011 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2011
Fooling a face recognition system with a marker-free label-consistent backdoor attack
N Cauli, A Ortis, S Battiato
International Conference on Image Analysis and Processing, 176-185, 2022
Learning deep features for robotic inference from physical interactions
A Dehban, S Zhang, N Cauli, L Jamone, J Santos-Victor
IEEE Transactions on Cognitive and Developmental Systems, 2022
Video Action Recognition and Prediction Architecture for a Robotic Coach (short paper).
N Cauli, DR Recupero
SmartPhil@ IUI, 69-77, 2020
Studio ed implementazione di un sistema basato sulle reti neurali per il calcolo della percezione attesa di flusso ottico
N Cauli
UniversitÓ di Pisa 33, 2010
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