Persone | Istituto di Scienze e Tecnologie della Cognizione

Vieri Giuliano Santucci

Email:

vieri.santucci@istc.cnr.it

Telephone:

+ 39 06 44595230

Indirizzo:

Istituto di Scienze e Tecnologie della Cognizione, Via S. Martino della Battaglia 44, 00185 Roma

Resume:

vierigiulianosantucci_cv.pdf

Group membership:

Laboratory of Computational Embodied Neuroscience

Additional details

Profilo

Posizione:

Ricercatore

Vieri Giuliano Santucci è un ricercatore presso l'Istituto di Scienze e Tecnologie della Cognizione (CNR, Roma). Ha conseguito un Ph.D. in computer science presso l'Università di Plymouth (UK), una laura specialistica in Teorie e Tecniche della Conoscenza presso la facoltà di Filososia dell'Università di Roma “La Sapienza”, e una laurea triennale in Filosofia presso l'Università di Pisa. I suoi interessi spaziano dai processi di apprendimento autonomo alle motivazioni, sia in agenti biologici che artificiali. Il suo attuale lavoro si focalizza sullo sviluppo di architetture robotiche che permettano agli agenti artificiali di migliorare autonomamente le proprie competenze sulla basse del costrutto (ispirato biologicamente) delle motivazioni intrinseche.

Ha pubblicato su riviste peer-reviewed e partecipato a molte conferenze internazionali, ed ha contribuito attivamente a due importanti progetti europei: 'IM-CLeVeR - Intrinsically-Motivated Cumulative-Learning Versatile Robots' e 'GOAL - Robots'.

Progetti

GOAL-Robots: Goal-based Open-ended Autonomous Learning Robots

Project Funding:

FP - European Framework Programmes

Project Timeframe:

da 01 Nov 2016 a 31 Ott 2020

ISTC Contact Person:

Gianluca Baldassarre

Group & ISTC Labs:

Laboratory of Computational Embodied Neuroscience

IM-CLeVeR: Intrinsically Motivated Cumulative Learning Versatile Robots

Project Funding:

FP - European Framework Programmes

Project Timeframe:

da 31 Dic 2008 a 29 Apr 2013

ISTC Contact Person:

Gianluca Baldassarre

Group & ISTC Labs:

Laboratory of Computational Embodied Neuroscience

IMPACT - Intrinsically Motivated Planning Architecture for Curiosity-driven roboTs

Project Funding:

Other - International

Project Timeframe:

da 01 Giu 2018 a 31 Mag 2019

ISTC Contact Person:

Angelo Oddi

Group & ISTC Labs:

Planning and Scheduling Technology Laboratory

Pubblicazioni

Articolo

2018

Know Your Body Through Intrinsic Goals

Mannella, Francesco, Santucci, Vieri G., Somogyi, Eszter, Jacquey, Lisa, O'Regan, Kevin J., Baldassarre, Gianluca

Sorgente: Frontiers in neurorobotics 12 (2018). doi:10.3389/fnbot.2018.00030, info:cnr-pdr/source/autori:Mannella, Francesco; Santucci, Vieri G.; Somogyi, Eszter; Jacquey, Lisa; O'Regan, Kevin J.; Baldassarre, Gianluca/titolo:Know Your Body Through Intrinsic Goals/doi:10.3389/fnbot.2018.00030/rivista:Frontiers in neurorobotics/anno

2017

The architecture challenge: Future artificial-intelligence systems will require sophisticated architectures, and knowledge of the brain might guide their construction

Baldassarre Gianluca, Santucci Vieri Giuliano, Cartoni Emilio, Caligiore Daniele

Sorgente: Behavioral and brain sciences (Online) 40 (2017). doi:10.1017/S0140525X17000036, info:cnr-pdr/source/autori:Baldassarre Gianluca, Santucci Vieri Giuliano, Cartoni Emilio, Caligiore Daniele/titolo:The architecture challenge: Future artificial-intelligence systems will require sophisticated architectures, and knowledge of the brain migh

2016

GRAIL: a Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning

Vieri Giuliano Santucci, Gianluca Baldassarre, Marco Mirolli

Sorgente: IEEE Transactions on Cognitive and Developmental Systems 8 (2016): 214–231. doi:10.1109/TCDS.2016.2538961, info:cnr-pdr/source/autori:Vieri Giuliano Santucci, Gianluca Baldassarre, Marco Mirolli/titolo:GRAIL: a Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning/doi:10.1109/TCDS.2016.2538961/rivista:IEEE Transactions on Cognitive and De

2013

Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study

Mirolli, Marco, Santucci, Vieri G., Baldassarre, Gianluca

Sorgente: Neural networks 39 (2013): 40–51. doi:10.1016/j.neunet.2012.12.012, info:cnr-pdr/source/autori:Mirolli, Marco; Santucci, Vieri G.; Baldassarre, Gianluca/titolo:Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study/

Which is the best intrinsic motivation signal for learning multiple skills?

Santucci, Vieri G, Baldassarre, Gianluca, Mirolli, Marco

Sorgente: Frontiers in neurorobotics 7 (2013): 22. doi:10.3389/fnbot.2013.00022, info:cnr-pdr/source/autori:Santucci, Vieri G; Baldassarre, Gianluca; Mirolli, Marco/titolo:Which is the best intrinsic motivation signal for learning multiple skills?/doi:10.3389/fnbot.2013.00022/rivista:Frontiers in neurorobotics/anno:2013/pagina_da:22/p

Contributo in atti di convegno

2018

Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments

Baldassarre Gianluca, Mannella Francesco, Santucci Vieri Giuliano, Somogyi Eszter, Jacquey Lisa, Hamilton Mollie, O'Regan J. Kevin

Sorgente: The 8th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob2018), Tokyo, Japan, 16-20/09/2018, info:cnr-pdr/source/autori:Baldassarre Gianluca, Mannella Francesco, Santucci Vieri Giuliano, Somogyi Eszter, Jacquey Lisa, Hamilton Mollie, O'Regan J. Kevin/congresso_nome:The 8th IEEE International Conference on Development and Learning and Epigenetic

2014

Autonomous selection of the 'what' and the 'how' of learning: An intrinsically motivated system tested with a two armed robot

Santucci, Vieri G., Baldassarre, Gianluca, Mirolli, Marco

Sorgente: The Fourth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 434–439, Genoa, Italy, 13-16 October 2014

2013

Intrinsic motivation signals for driving the acquisition of multiple tasks: A simulated robotic study

Santucci, Vieri, Baldassarre, Gianluca, Mirolli, Marco

Sorgente: 12th International Conference on Cognitive Modelling (ICCM 2013), pp. 59–64, Ottawa, Canada, 11-14 July 2013

2010

Biological cumulative learning through intrinsic motivations: a simulated robotic study on development of visually-guided reaching

Santucci V. G., Baldassarre G., Mirolli M.

Sorgente: Tenth International Conference on Epigenetic Robotics (EpiRob2010), pp. 121–128, Sweden, 5-7/11/2010

Contributo in volume

2014

Cumulative learning through intrinsic reinforcements

Santucci, Vieri G., Baldassarre, Gianluca, Mirolli, Marco

Sorgente: Artificial Life, Evolution and Complexity, edited by Cagnoni S., Mirolli M. and Villani M., pp. 107–122, 2014