Nino Cauli

Former Collaborator

Collaborators

Position: Collaborator

Group: Computer and Robot Vision Lab (VisLab)

Email: nigno17@gmail.com

Phone: +351-218418298

Office: 7.09

No projects found

[1] Atabak Dehban, ShanghangZhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor "Learning Deep Features for Robotic Inference from Physical Interactions", IEEE Transactions on Cognitive and Developmental Systems, 2022

[2] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo "Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach", Journal of Intelligent & Robotic Systems, 98, 191–205, April, 2020

[3] Jaeseok Kim, Anand Mishra, Raffaele Limosani , Marco Scafuro, Nino Cauli, José Santos-Victor, Barbara Mazzolai, Filippo Cavallo "Control strategies for cleaning robots in domestic applications: A comprehensive review", International Journal of Advanced Robotic Systems (IJARS), vol. 16, issue 4, 2019

[4] E. Falotico, L. Vannucci, A. Ambrosano, U. Albanese, S. Ulbrich, J. Tieck, G. Hinkel, J. Kaiser, I. Peric, O. Denninger, Nino Cauli, M. Kirtay, A. Roennau, G. Klinker, A. Arnim, L. Guyot, D. Peppicelli, P. Cañada, E. Ros, P. Maier, S. Weber, M. Huber, D. Plecher, F. Röhrbein, S. Deser, A. Roitberg, P. Smagt, R. Dillman, P. Levi, C. Laschi, A. Knoll, M. Gewaltig "Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform", Frontiers in Neurorobotics, Vol. 11, January, 2017

[5] G. Hinkel, H. Groenda, S. Krach, L. Vannucci, O. Denninger, Nino Cauli, S. Ulbrich, A. Roennau, E. Falotico, M. Gewaltig, A. Knoll, R. Dillman, C. Laschi, R. Reussner "A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks", Journal of Intelligent & Robotic Systems, Vol. 85, Issue 1, pp 71–91, 2017

[6] E. Falotico, Nino Cauli, P. Kryczka , K. Hashimoto, A. Berthoz , A. Takanishi, P. Dario, C. Laschi "Head stabilization in a humanoid robot: models and implementations", Autonomous Robots, pp. 1–17, July, 2016

[7] Nino Cauli, E. Falotico, Alexandre Bernardino, José Santos-Victor, C. Laschi "Correcting for Changes: Expected Perception-Based Control for Reaching a Moving Target", IEEE Robotics and Automation Magazine, Vol. 23, No. 1, pp. 63 - 70, March, 2016

No publications found for author "cap-ninocauli"

[1] Nino Cauli, Pedro Vicente, J. Kim, Bruno Damas, Alexandre Bernardino, F. Cavallo, José Santos-Victor "Autonomous table cleaning from kinesthetic demonstrations using Deep Learning", Proc. of IEEE ICDL-EPIROB 2018 - 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, Tokyo, Japan, 2018

[2] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Filippo Cavallo, José Santos-Victor "“iCub, clean the table!” A robot learning from demonstration approach using Deep Neural Networks", Proc. of ICARSC 2018, 18th IEEE International Conference on Autonomous Robot Systems and Competitions, Torres Vedras, Portugal, 2018

[3] L. Vannucci, A. Ambrosano, Nino Cauli, U. Albanese, E. Falotico, S. Ulbrich, L. Pfotzer, G. Hinkel, O. Denninger, D. Peppicelli, L. Guyot, A. Arnim, S. Deser, P. Maier, R. Dillman, G. Klinker, P. Levi, A. Knoll, M. Gewaltig, C. Laschi "A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation", Proc. of Humanoids 2015 - IEEE-RAS International Conference on Humanoid Robots, Seoul, Korea, 2015

[4] G. Hinkel, H. Groenda, L. Vannucci, O. Denninger, Nino Cauli, S. Ulbrich "A Domain-Specific Language (DSL) for Integrating Neuronal Networks in Robot Control", Proc. of MORSE/VAO 2015 - Joint MORSE/VAO Workshop on Model-Driven Robot Software Engineering and View-based Software-Engineering, L'Aquila, Italy, 2015

No publications found for author "cap-ninocauli"

[1] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo "Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach", Workshop on Open-Ended Learning for Object Perception and Grasping: Current Successes and Future Challenges at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019