Pablo Lanillos
Pablo Lanillos
Assistant Professor at Donders Institute for Brain, Cognition and Behaviour, Radboud University
Verified email at - Homepage
Cited by
Cited by
A review on neural network models of schizophrenia and autism spectrum disorder
P Lanillos, D Oliva, A Philippsen, Y Yamashita, Y Nagai, G Cheng
Neural Networks 122, 338-363, 2020
Multi-UAV target search using decentralized gradient-based negotiation with expected observation
P Lanillos, SK Gan, E Besada-Portas, G Pajares, S Sukkarieh
Information Sciences 282, 92-110, 2014
Active inference in robotics and artificial agents: Survey and challenges
P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ...
arXiv preprint arXiv:2112.01871, 2021
An empirical study of active inference on a humanoid robot
G Oliver, P Lanillos, G Cheng
IEEE Transactions on Cognitive and Developmental Systems 14 (2), 462-471, 2021
Adaptive robot body learning and estimation through predictive coding
P Lanillos, G Cheng
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
A tactile-based framework for active object learning and discrimination using multimodal robotic skin
M Kaboli, D Feng, K Yao, P Lanillos, G Cheng
IEEE Robotics and Automation Letters 2 (4), 2143-2150, 2017
End-to-end pixel-based deep active inference for body perception and action
C Sancaktar, MAJ van Gerven, P Lanillos
2020 Joint IEEE 10th International Conference on Development and Learning …, 2020
Minimum time search for lost targets using cross entropy optimization
P Lanillos, E Besada-Portas, G Pajares, JJ Ruz
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges
T Taniguchi, S Murata, M Suzuki, D Ognibene, P Lanillos, E Ugur, ...
Advanced Robotics 37 (13), 780-806, 2023
Yielding self-perception in robots through sensorimotor contingencies
P Lanillos, E Dean-Leon, G Cheng
IEEE Transactions on Cognitive and Developmental Systems 9 (2), 100-112, 2016
A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domains
P Lanillos, J Yanez-Zuluaga, JJ Ruz, E Besada-Portas
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
Robot self/other distinction: active inference meets neural networks learning in a mirror
P Lanillos, J Pagès, G Cheng
24th European Conference on Artificial Intelligence (ECAI) 325, 2410-2416, 2020
How active inference could help revolutionise robotics
L Da Costa, P Lanillos, N Sajid, K Friston, S Khan
Entropy 24 (3), 361, 2022
Robotic technologies for fast deployment of industrial robot systems
E Dean-Leon, K Ramirez-Amaro, F Bergner, I Dianov, P Lanillos, ...
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
Attention-based active visual search for mobile robots
A Rasouli, P Lanillos, G Cheng, JK Tsotsos
Autonomous Robots 44 (2), 131-146, 2020
Minimum time search in uncertain dynamic domains with complex sensorial platforms
P Lanillos, E Besada-Portas, JA Lopez-Orozco, JM De la Cruz
Sensors 14 (8), 14131-14179, 2014
Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot
NA Hinz, P Lanillos, H Mueller, G Cheng
2018 Joint IEEE 8th International Conference on Development and Learning and …, 2018
Designing an artificial attention system for social robots
P Lanillos, JF Ferreira, J Dias
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Deep active inference for partially observable mdps
O van der Himst, P Lanillos
Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020
Active strategies for multisensory conflict suppression in the virtual hand illusion
P Lanillos, S Franklin, A Maselli, DW Franklin
Scientific Reports 11 (1), 22844, 2021
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