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 | 149 | 2020 |
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 | 128 | 2021 |
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 | 118 | 2014 |
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 | 104* | 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 | 75* | 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 | 73 | 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 | 66 | 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 | 63 | 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 | 59 | 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 | 46 | 2016 |
How active inference could help revolutionise robotics L Da Costa, P Lanillos, N Sajid, K Friston, S Khan Entropy 24 (3), 361, 2022 | 45 | 2022 |
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 | 44 | 2020 |
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 | 41 | 2013 |
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 | 38 | 2016 |
Attention-based active visual search for mobile robots A Rasouli, P Lanillos, G Cheng, JK Tsotsos Autonomous Robots 44 (2), 131-146, 2020 | 33 | 2020 |
Deep active inference for partially observable mdps O van der Himst, P Lanillos Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 32 | 2020 |
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 | 31 | 2018 |
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 | 30 | 2014 |
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 | 29 | 2015 |
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 | 24* | 2021 |