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ORCIDPablo Lanillos
Pablo L. Lanillos
Person information
- affiliation: Radboud University, Nijmegen, The Netherlands
- affiliation (former): Technical University of Munich, Germany
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2020 – today
- 2024
[j20]Guoqi Li
, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy:
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. IEEE Trans. Cogn. Dev. Syst. 16(5): 1623-1625 (2024)- [j19]Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos:
Closed-Form Control With Spike Coding Networks. IEEE Trans. Cogn. Dev. Syst. 16(5): 1677-1687 (2024) - [e5]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse:
Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers. Communications in Computer and Information Science 1915, Springer 2024, ISBN 978-3-031-47957-1 [contents] - [i26]Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra:
Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR abs/2402.09030 (2024) - [i25]Ajith Anil Meera, Pablo Lanillos:
Confidence-Aware Decision-Making and Control for Tool Selection. CoRR abs/2403.03808 (2024) - 2023
- [j18]Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura:
Special issue on world models and predictive coding in robotics (Part I). Adv. Robotics 37(13): 779 (2023) - [j17]Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo:
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Adv. Robotics 37(13): 780-806 (2023) - [j16]Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura:
Special issue on world models and predictive coding in robotics (part II). Adv. Robotics 37(19): 1211 (2023) - [j15]Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos:
Adaptation Through Prediction: Multisensory Active Inference Torque Control. IEEE Trans. Cogn. Dev. Syst. 15(1): 32-41 (2023) - [c26]Ajith Anil Meera, Pablo Lanillos:
Adaptive Noise Covariance Estimation Under Colored Noise Using Dynamic Expectation Maximization. CDC 2023: 165-171 - [c25]Ajith Anil Meera, Pablo Lanillos:
Towards Metacognitive Robot Decision Making for Tool Selection. IWAI 2023: 31-42 - [c24]Filip Novicky, Joshua Offergeld, Simon Janssen, Pablo Lanillos:
Robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference. Living Machines (1) 2023: 33-55 - [e4]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen:
Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1721, Springer 2023, ISBN 978-3-031-28718-3 [contents] - [i24]Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo:
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges. CoRR abs/2301.05832 (2023) - [i23]Ajith Anil Meera, Pablo Lanillos:
Adaptive Noise Covariance Estimation under Colored Noise using Dynamic Expectation Maximization. CoRR abs/2308.07797 (2023) - 2022
- [j14]Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan:
How Active Inference Could Help Revolutionise Robotics. Entropy 24(3): 361 (2022) - [j13]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics 16 (2022) - [j12]Antonella Maselli, Pablo Lanillos, Giovanni Pezzulo:
Active inference unifies intentional and conflict-resolution imperatives of motor control. PLoS Comput. Biol. 18(6) (2022) - [j11]Guillermo Oliver, Pablo Lanillos, Gordon Cheng:
An Empirical Study of Active Inference on a Humanoid Robot. IEEE Trans. Cogn. Dev. Syst. 14(2): 462-471 (2022) - [c23]Ruben S. van Bergen, Pablo Lanillos:
Object-Based Active Inference. IWAI 2022: 50-64 - [c22]Jonathan Bauermeister, Pablo Lanillos:
The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference. IWAI 2022: 112-129 - [c21]Justus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos:
Learning Policies for Continuous Control via Transition Models. IWAI 2022: 162-178 - [i22]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR abs/2203.12652 (2022) - [i21]Ruben S. van Bergen, Pablo L. Lanillos:
Object-based active inference. CoRR abs/2209.01258 (2022) - [i20]Justus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos:
Learning Policies for Continuous Control via Transition Models. CoRR abs/2209.08033 (2022) - [i19]Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos:
Closed-form control with spike coding networks. CoRR abs/2212.12887 (2022) - 2021
- [j10]Matej Hoffmann, Shengzhi Wang, Vojtech Outrata, Elisabet Alzueta, Pablo Lanillos:
Robot in the Mirror: Toward an Embodied Computational Model of Mirror Self-Recognition. Künstliche Intell. 35(1): 37-51 (2021) - [c20]Cristian Meo, Pablo Lanillos:
Multimodal VAE Active Inference Controller. IROS 2021: 2693-2699 - [c19]Niels van Hoeffelen, Pablo Lanillos:
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem. PKDD/ECML Workshops (1) 2021: 843-856 - [c18]Daniel Burghardt, Pablo Lanillos:
Robot Localization and Navigation Through Predictive Processing Using LiDAR. PKDD/ECML Workshops (1) 2021: 857-864 - [e3]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i18]Cristian Meo, Pablo Lanillos:
Multimodal VAE Active Inference Controller. CoRR abs/2103.04412 (2021) - [i17]Pablo Lanillos, Marcel van Gerven:
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception. CoRR abs/2105.04261 (2021) - [i16]Daniel Burghardt, Pablo Lanillos:
Robot Localization and Navigation through Predictive Processing using LiDAR. CoRR abs/2109.04139 (2021) - [i15]Niels van Hoeffelen, Pablo Lanillos:
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem. CoRR abs/2109.04155 (2021) - [i14]Justus F. Hübotter, Pablo Lanillos, Jakub M. Tomczak:
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization. CoRR abs/2109.11045 (2021) - [i13]Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani:
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR abs/2112.01871 (2021) - [i12]Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos:
Adaptation through prediction: multisensory active inference torque control. CoRR abs/2112.06752 (2021) - 2020
- [j9]Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based active visual search for mobile robots. Auton. Robots 44(2): 131-146 (2020) - [j8]Matej Hoffmann, Pablo Lanillos, Lorenzo Jamone, Alex Pitti, Eszter Somogyi:
Editorial: Body Representations, Peripersonal Space, and the Self: Humans, Animals, Robots. Frontiers Neurorobotics 14: 35 (2020) - [j7]Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, Yukie Nagai, Gordon Cheng:
A review on neural network models of schizophrenia and autism spectrum disorder. Neural Networks 122: 338-363 (2020) - [c17]Pablo Lanillos, Jordi Pagès, Gordon Cheng:
Robot Self/Other Distinction: Active Inference Meets Neural Networks Learning in a Mirror. ECAI 2020: 2410-2416 - [c16]Cansu Sancaktar, Marcel A. J. van Gerven, Pablo Lanillos:
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. ICDL-EPIROB 2020: 1-8 - [c15]Otto van der Himst, Pablo Lanillos:
Deep Active Inference for Partially Observable MDPs. IWAI 2020: 61-71 - [c14]Thomas Rood, Marcel van Gerven, Pablo Lanillos:
A Deep Active Inference Model of the Rubber-Hand Illusion. IWAI 2020: 84-91 - [e1]Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom:
Active Inference - First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings. Communications in Computer and Information Science 1326, Springer 2020, ISBN 978-3-030-64918-0 [contents] - [i11]Cansu Sancaktar, Pablo Lanillos:
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. CoRR abs/2001.05847 (2020) - [i10]Pablo Lanillos, Jordi Pagès, Gordon Cheng:
Robot self/other distinction: active inference meets neural networks learning in a mirror. CoRR abs/2004.05473 (2020) - [i9]Thomas Rood, Marcel van Gerven, Pablo Lanillos:
A deep active inference model of the rubber-hand illusion. CoRR abs/2008.07408 (2020) - [i8]Otto van der Himst, Pablo Lanillos:
Deep Active Inference for Partially Observable MDPs. CoRR abs/2009.03622 (2020) - [i7]Matej Hoffmann, Shengzhi Wang, Vojtech Outrata, Elisabet Alzueta, Pablo Lanillos:
Robot in the mirror: toward an embodied computational model of mirror self-recognition. CoRR abs/2011.04485 (2020)
2010 – 2019
- 2019
- [c13]Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng:
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. CBS 2019: 48-53 - [c12]Jonas F. Braun, Germán Díez-Valencia, Stefan K. Ehrlich, Pablo Lanillos, Gordon Cheng:
A prototype of a P300 based brain-robot interface to enable multi-modal interaction for patients with limited mobility. CBS 2019: 78-84 - [i6]Germán Díez-Valencia, Takuya Ohashi, Pablo Lanillos, Gordon Cheng:
Sensorimotor learning for artificial body perception. CoRR abs/1901.09792 (2019) - [i5]Guillermo Oliver, Pablo Lanillos, Gordon Cheng:
Active inference body perception and action for humanoid robots. CoRR abs/1906.03022 (2019) - [i4]Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, Yukie Nagai, Gordon Cheng:
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. CoRR abs/1906.10015 (2019) - [i3]Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng:
Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. CoRR abs/1906.10592 (2019) - 2018
- [c11]Nina-Alisa Hinz, Pablo Lanillos, Hermann Mueller, Gordon Cheng:
Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot. ICDL-EPIROB 2018: 125-132 - [c10]Pablo Lanillos, Gordon Cheng:
Adaptive Robot Body Learning and Estimation Through Predictive Coding. IROS 2018: 4083-4090 - [i2]Pablo Lanillos, Gordon Cheng:
Adaptive robot body learning and estimation through predictive coding. CoRR abs/1805.03104 (2018) - [i1]Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based Active Visual Search for Mobile Robots. CoRR abs/1807.10744 (2018) - 2017
- [j6]Pablo Lanillos, João Filipe Ferreira, Jorge Dias:
A Bayesian hierarchy for robust gaze estimation in human-robot interaction. Int. J. Approx. Reason. 87: 1-22 (2017) - [j5]Mohsen Kaboli, Di Feng, Kunpeng Yao, Pablo Lanillos, Gordon Cheng:
A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin. IEEE Robotics Autom. Lett. 2(4): 2143-2150 (2017) - [j4]Pablo Lanillos, Emmanuel C. Dean-Leon, Gordon Cheng:
Yielding Self-Perception in Robots Through Sensorimotor Contingencies. IEEE Trans. Cogn. Dev. Syst. 9(2): 100-112 (2017) - [c9]Pablo Lanillos, Emmanuel C. Dean-Leon, Gordon Cheng:
Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enaction. ICDL-EPIROB 2017: 72-78 - 2016
- [c8]Ilya Dianov, Karinne Ramirez-Amaro, Pablo Lanillos, Emmanuel C. Dean-Leon, Florian Bergner, Gordon Cheng:
Extracting general task structures to accelerate the learning of new tasks. Humanoids 2016: 802-807 - [c7]Pablo Lanillos, Emmanuel C. Dean-Leon, Gordon Cheng:
Multisensory object discovery via self-detection and artificial attention. ICDL-EPIROB 2016: 1-6 - [c6]Emmanuel C. Dean-Leon, Karinne Ramirez-Amaro, Florian Bergner, Ilya Dianov, Pablo Lanillos, Gordon Cheng:
Robotic technologies for fast deployment of industrial robot systems. IECON 2016: 6900-6907 - 2015
- [c5]Pablo Lanillos, João Filipe Ferreira, Jorge Dias:
Designing an artificial attention system for social robots. IROS 2015: 4171-4178 - [c4]Beatriz Oliveira, Pablo Lanillos, João Filipe Ferreira:
Gaze Tracing in a Bounded Log-Spherical Space for Artificial Attention Systems. ROBOT (2) 2015: 407-419 - 2014
- [j3]Pablo Lanillos, Seng Keat Gan, Eva Besada-Portas, Gonzalo Pajares, Salah Sukkarieh:
Multi-UAV target search using decentralized gradient-based negotiation with expected observation. Inf. Sci. 282: 92-110 (2014) - [j2]Pablo Lanillos, Eva Besada-Portas, José Antonio López Orozco, Jesús Manuel de la Cruz:
Minimum Time Search in Uncertain Dynamic Domains with Complex Sensorial Platforms. Sensors 14(8): 14131-14179 (2014) - 2013
- [c3]Pablo Lanillos, Javier Yañez-Zuluaga, José Jaime Ruz, Eva Besada-Portas:
A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domains. GECCO 2013: 391-398 - 2012
- [j1]Eva Besada-Portas, José Antonio López Orozco, Pablo Lanillos, Jesús Manuel de la Cruz:
Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements. Sensors 12(3): 2487-2518 (2012) - [c2]Pablo Lanillos, Eva Besada-Portas, Gonzalo Pajares, José Jaime Ruz:
Minimum time search for lost targets using cross entropy optimization. IROS 2012: 602-609
2000 – 2009
- 2009
- [c1]Pablo Lanillos, Gonzalo Pajares, José Jaime Ruz, Jesús Manuel de la Cruz:
Environmental Surface Boundary Tracking and Description using a UAV with Vision. ETFA 2009: 1-4
Coauthor Index
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