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ORCIDJordi-Ysard Puigbò Llobet
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- affiliation: Pompeu Fabra University, Barcelona, Spain
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Books and Theses
- 2019
[b1]Jordi-Ysard Puigbò Llobet:
Learning mechanisms of uncertainty and neuromodulation. Pompeu Fabra University, Spain, 2019
Journal Articles
- 2023
- [j7]Ismael T. Freire, Xerxes D. Arsiwalla
, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Modeling Theory of Mind in Dyadic Games Using Adaptive Feedback Control. Inf. 14(8): 441 (2023) - 2020
- [j6]Martí Sánchez-Fibla, Sébastien Forestier, Clément Moulin-Frier, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
From motor to visually guided bimanual affordance learning. Adapt. Behav. 28(2) (2020) - 2018
- [j5]Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure:
iCub-HRI: A Software Framework for Complex Human-Robot Interaction Scenarios on the iCub Humanoid Robot. Frontiers Robotics AI 5: 22 (2018) - [j4]Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong D. H. Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas C. Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure:
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Trans. Cogn. Dev. Syst. 10(4): 1005-1022 (2018) - 2017
- [j3]Jordi-Ysard Puigbò Llobet, Miguel Ángel González Ballester, Paul F. M. J. Verschure:
Modeling the neural substrates of learning through conditioning: A two-phased model. IBM J. Res. Dev. 61(2/3): 9:1-9:11 (2017) - 2015
- [j2]Jordi-Ysard Puigbo, Albert Pumarola, Cecilio Angulo, Ricardo A. Téllez:
Using a cognitive architecture for general purpose service robot control. Connect. Sci. 27(2): 105-117 (2015) - [j1]Stéphane Lallée, Vasiliki Vouloutsi, Maria Blancas, Klaudia Grechuta, Jordi-Ysard Puigbo, Marina Sardà Gou, Paul F. M. J. Verschure:
Towards the synthetic self: making others perceive me as an other. Paladyn J. Behav. Robotics 6(1) (2015)
Conference and Workshop Papers
- 2020
- [c19]Adrián Fernández Amil, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Cholinergic Control of Chaos and Evidence Sensitivity in a Neocortical Model of Perceptual Decision-Making. Living Machines 2020: 92-96 - 2019
- [c18]Adrián Fernández Amil, Giovanni Maffei, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Robust Postural Stabilization with a Biomimetic Hierarchical Control Architecture. Living Machines 2019: 321-324 - 2018
- [c17]Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Unsupervised Systems-Level Learning Mechanism Based on Bayesian-Inference. CCIA 2018: 116-119 - [c16]Xerxes D. Arsiwalla, Camilo Miguel Signorelli, Jordi-Ysard Puigbo, Ismael T. Freire, Paul F. M. J. Verschure:
What Is the Physics of Intelligence? CCIA 2018: 283-286 - [c15]Ismael T. Freire, Xerxes D. Arsiwalla, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Limits of Multi-Agent Predictive Models in the Formation of Social Conventions. CCIA 2018: 297-301 - [c14]Xerxes D. Arsiwalla, Camilo Miguel Signorelli, Jordi-Ysard Puigbo, Ismael T. Freire, Paul F. M. J. Verschure:
Are Brains Computers, Emulators or Simulators? Living Machines 2018: 11-15 - [c13]Ismael T. Freire, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Modeling the Opponent's Action Using Control-Based Reinforcement Learning. Living Machines 2018: 179-186 - [c12]Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Challenges of Machine Learning for Living Machines. Living Machines 2018: 382-386 - 2017
- [c11]Clément Moulin-Frier, Jordi-Ysard Puigbo, Xerxes D. Arsiwalla, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
Embodied artificial intelligence through distributed adaptive control: An integrated framework. ICDL-EPIROB 2017: 324-330 - [c10]Jordi-Ysard Puigbò, Miguel Ángel González Ballester, Paul F. M. J. Verschure:
Behavior-State Dependent Modulation of Perception Based on a Model of Conditioning. Living Machines 2017: 387-393 - [c9]Giovanni Maffei, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Learning Modular Sequences in the Striatum. Living Machines 2017: 574-578 - [c8]Ivan Herreros, Xerxes D. Arsiwalla, Cosimo Della Santina, Jordi-Ysard Puigbo, Antonio Bicchi, Paul F. M. J. Verschure:
Cerebellar-inspired learning rule for gain adaptation of feedback controllers. MED 2017: 565-570 - 2016
- [c7]Jordi-Ysard Puigbo, Joeri B. G. van Wijngaarden, Sock Ching Low, Paul F. M. J. Verschure:
Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule. ICANN (1) 2016: 28-35 - [c6]Jordi-Ysard Puigbo, Clément Moulin-Frier, Paul F. M. J. Verschure:
Towards Self-controlled Robots Through Distributed Adaptive Control. Living Machines 2016: 490-497 - [c5]Clément Moulin-Frier, Xerxes D. Arsiwalla, Jordi-Ysard Puigbo, Martí Sánchez-Fibla, Armin Duff, Paul F. M. J. Verschure:
Top-Down and Bottom-Up Interactions between Low-Level Reactive Control and Symbolic Rule Learning in Embodied Agents. CoCo@NIPS 2016 - 2015
- [c4]Jordi-Ysard Puigbo, Clément Moulin-Frier, Vasiliki Vouloutsi, Martí Sánchez-Fibla, Ivan Herreros-Alonso, Paul F. M. J. Verschure:
Skill refinement through cerebellar learning and human haptic feedback: An iCub learning to paint experiment. Humanoids 2015: 447-452 - [c3]Jordi-Ysard Puigbo, Ivan Herreros, Clément Moulin-Frier, Paul F. M. J. Verschure:
Towards a Two-Phase Model of Sensor and Motor Learning. Living Machines 2015: 453-460 - 2014
- [c2]Jordi-Ysard Puigbo, Germán Sánchez-Hernández, Mònica Casabayó, Núria Agell:
Influencer Detection Approaches in Social Networks: A Current State-of-the-Art. CCIA 2014: 261-264 - 2013
- [c1]Jordi-Ysard Puigbo, Albert Pumarola, Ricardo A. Téllez:
Controlling a General Purpose Service Robot By Means of a Cognitive Architecture. AIC@AI*IA 2013: 45-55
Informal and Other Publications
- 2019
- [i4]Ismael T. Freire, Xerxes D. Arsiwalla, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control. CoRR abs/1905.13225 (2019) - 2017
- [i3]Clément Moulin-Frier, Jordi-Ysard Puigbo, Xerxes D. Arsiwalla, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework. CoRR abs/1704.01407 (2017) - [i2]Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong D. H. Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas C. Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure:
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. CoRR abs/1706.03661 (2017) - [i1]Ivan Herreros, Xerxes D. Arsiwalla, Cosimo Della Santina, Jordi-Ysard Puigbo, Antonio Bicchi, Paul F. M. J. Verschure:
Cerebellar-Inspired Learning Rule for Gain Adaptation of Feedback Controllers. CoRR abs/1707.01484 (2017)
Coauthor Index
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