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Benchmarking the Grasping Capabilities of the iCub Hand With the YCB Object and Model Set.

, , and . IEEE Robotics Autom. Lett., 1 (1): 288-294 (2016)

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Divergent stereo for robot navigation: learning from bees., , , and . CVPR, page 434-439. IEEE, (1993)Vision-based Navigation, Environmental Representations and Imaging Geometries., and . ISRR, volume 6 of Springer Tracts in Advanced Robotics, page 347-360. Springer, (2001)Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub., , , , , and . ICRA, page 962-967. IEEE, (2008)A Computational Model of Social-Learning Mechanisms., , , and . Adaptive Behaviour, 17 (6): 467-483 (2009)Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots., , , , , and . CoRR, (2018)Design of the Robot-cub (iCub) Head., , , , , , , and . ICRA, page 94-100. IEEE, (2006)Fast IIR Isotropic 2-D Complex Gabor Filters With Boundary Initialization., and . IEEE Trans. Image Processing, 15 (11): 3338-3348 (2006)Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System., , and . CoRR, (2019)Applying Domain Randomization to Synthetic Data for Object Category Detection., , , , , and . CoRR, (2018)A deep probabilistic framework for heterogeneous self-supervised learning of affordances., , , and . Humanoids, page 476-483. IEEE, (2017)