Publications
2020
Sancaktar, C., & Lanillos, P. (2020). End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. arXiv preprint arXiv:2001.05847.
Lanillos, P., Pages, J., Cheng, G. (2020). Robot self/other distinction: active inference meets neural networks learning in a mirror. European Conference on Artificial Intelligence (ECAI 2020). 2019.
2019
Lanillos, P., Oliva, D, Philippsen, A., Nagai, Y., Cheng, G. (2019). A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. Neural Networks. doi: 10.1016/j.neunet.2019.10.014
Rasouli, A., Lanillos, P., Cheng, G. & Tsotsos, J.K. (2019). Attention-based active visual search for mobile robots. Autonomous Robots. doi: 10.1007/s10514-019-09882-z 4.
Deistler, M., Yener, Y., Bergner, F., Lanillos, P., Cheng, G (2019). Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. 2019 IEEE International Conference on Cyborg and Bionic Systems.
Braun, J.F., Díez-Valencia, G., Ehrlich, S.K., Lanillos, P. & Cheng, G. (2019). A prototype of a P300 based brain-robot interface to enable multi-modal interaction for patients with limited mobility. In 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS 2019) (pp. 1-7).
Oliver, G., Lanillos, P., & Cheng, G. (2019). Active inference body perception and action for humanoid robots. arXiv preprint arXiv:1906.03022.
Tayeb, Z., Jakovleski, P., Chen, Z., Lippert, J., Lanillos, P., Lee, D., & Cheng, G. (2019, March). Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 1021-1024). IEEE.
2018
Lanillos, P., & Cheng, G. (2018). Adaptive robot body learning and estimation through predictive coding. IEEE/RJS International Conference on Intelligent Robots and Systems (IROS 2018). Finalist best paper cognitive robotics. (link)
Hinz, N. A., Lanillos, P.*, Mueller, H., & Cheng, G. (2018). Drifting perceptual patterns suggest prediction errors fusion rather than hypothesis selection: replicating the rubber-hand illusion on a robot. Accepted. IEEE international conference on development and learning and on epigenetic robotics (ICDL-Epirob 2018). (link)
Lanillos, P., & Cheng, G. (2018). Active inference with function learning for robot body perception. International Workshop on Continual Unsupervised Sensorimotor Learning, IEEE Developmental Learning and Epigenetic Robotics (ICDL-Epirob).
Diez-Valencia, G., Ohashi, T., Lanillos, P.*, & Cheng, G. (2018). Sensorimotor learning for artificial body perception. International Workshop on Crossmodal Learning for Intelligent Robotics, IEEE/RSJ Intelligent Robots and Systems (IROS).
Lanillos, P., Hinz, N. A., Mueller, H., & Cheng, G (2018). Replicating Body Illusions on a Robot with Predictive Coding Models. Poster at International Conference on The Open Self: Investigating the Boundaries of the Self: Bodily, Social and Technological.
2017
Lanillos, P., Emannuel-Dean, L., Cheng, G. (2017) Enactive Self: a study of engineering perspectives to obtain the sensorimotor self through enaction. 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob). (link)
Kaboli, M., Feng, D., Yao, K., Lanillos, P., Cheng, G. (2017) A tactile-based framework for active object learning and discrimination using multi-modal robotic skin, 2017, Robotics and Automation Letters (RA-L). (link).
Previous related publications
Lanillos, P., Emannuel-Dean, L., Cheng, G. (2016) Yielding self-perception in robots through sensorimotor contingencies. IEEE Transactions on Cognitive and Developmental Systems. doi.org/10.1109/TCDS.2016.2627820 (link)
Lanillos, P., Cheng, G. (2016), Robots with self-perception: objects discovery and scene disambiguation using visual, proprioceptive and tactile cues correlation during interaction. Poster at Robotics in the 21st century: Challenges and Promises International Workshop (funded by the Volkswagen Foundation and the HeKKSaGOn Network). Sept 2016. (link)
Lanillos, P., Emannuel-Dean, L., Cheng, G. (2016), Multisensory Object Discovery via Self-detection and Artificial Attention. IEEE Int. Conf. on Developmental Learning and Epigenetic Robotics (ICDL-EpiRob). Cergy-Pontoise, 2016, pp. 1-6. doi.org/10.1109/DEVLRN.2016.7846777. Best paper presentation distinction award (link)
Lanillos P., Ferreira J.F., Dias J. (2017), A Bayesian hierarchy for robust gaze estimation in human–robot interaction, International Journal of Approximate Reasoning, Available online 3 May 2017, ISSN 0888-613X, doi.org/10.1016/j.ijar.2017.04.007. (link)
Lanillos, P., Ferreira, J. F., & Dias, J. (2015). Designing an artificial attention system for social robots. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, 2015, pp. 4171-4178. doi.org/10.1109/IROS.2015.7353967 (link)
Lanillos, P., Ferreira, J. F., & Dias, J. (2015): Multisensory 3D saliency for artificial attention systems. In 3rd Workshop on Recognition and Action for Scene Understanding (REACTS), 16th International Conference of Computer Analysis of Images and Patterns (CAIP), 1-6. (link)
Lanillos, P., Gan, S. K., Besada-Portas, E., Pajares, G., Sukkarieh, S. (2014): Multi-UAV target search using decentralized gradient-based negotiation with expected observation. Information Sciences, Volume 282, 20 October 2014, Pages 92-110, ISSN 0020-0255, doi.org/10.1016/j.ins.2014.05.054. (link)
Lanillos, P., Besada-Portas, E., Lopez-Orozco, J. A., de la Cruz, J. M. (2014): Minimum time search in uncertain dynamic domains with complex sensorial platforms. Sensors, 14(8), 14131-14179. doi.org/10.3390/s140814131 (link)