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Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence.

, , , , , , , , , , , , , , and . AIC, volume 1315 of CEUR Workshop Proceedings, page 140-147. CEUR-WS.org, (2014)

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Ontology-based context awareness for driving assistance systems., , and . Intelligent Vehicles Symposium, page 227-233. IEEE, (2014)Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network., , , and . ECMR, page 1-6. IEEE, (2017)Deep unsupervised state representation learning with robotic priors: a robustness analysis., , , , and . IJCNN, page 1-8. IEEE, (2019)Perception and human interaction for developmental learning of objects and affordances., , , , , , , and . Humanoids, page 248-254. IEEE, (2012)Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot., , , , , , , , and . ICDL-EPIROB, page 1-8. IEEE, (2013)Generative Models from the perspective of Continual Learning., , , , and . IJCNN, page 1-8. IEEE, (2019)Latent Discriminant Deterministic Uncertainty., , , , , and . ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 243-260. Springer, (2022)On Double Descent in Reinforcement Learning with LSTD and Random Features., , , and . ICLR, OpenReview.net, (2024)State Representation Learning for Control: An Overview., , , and . CoRR, (2018)Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking., , , , and . BioCAS, page 178. IEEE, (2014)