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On the advantages of foveal mechanisms for active stereo systems in visual search tasks., , , and . Auton. Robots, 42 (2): 459-476 (2018)Cleaning Tasks Knowledge Transfer Between Heterogeneous Robots: a Deep Learning Approach., , , , , , and . J. Intell. Robotic Syst., 98 (1): 191-205 (2020)Action Anticipation: Reading the Intentions of Humans and Robots., , , , , and . IEEE Robotics Autom. Lett., 3 (4): 4132-4139 (2018)A Developmental Roadmap for Learning by Imitation in Robots., and . IEEE Trans. Syst. Man Cybern. Part B, 37 (2): 308-321 (2007)Fast estimation of Gaussian mixture models for image segmentation., , , , and . Mach. Vis. Appl., 23 (4): 773-789 (2012)Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach., , and . ICINCO (Selected Papers), volume 89 of Lecture Notes in Electrical Engineering, page 105-120. (2010)Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model., , and . ICIAR (1), volume 6111 of Lecture Notes in Computer Science, page 105-116. Springer, (2010)Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System., , and . CoRR, (2019)A deep probabilistic framework for heterogeneous self-supervised learning of affordances., , , and . Humanoids, page 476-483. IEEE, (2017)Underwater Video Mosaics as Visual Navigation Maps., and . Comput. Vis. Image Underst., 79 (1): 66-91 (2000)