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Relational Affordance Learning for Task-Dependent Robot Grasping.

, , , and . ILP, volume 10759 of Lecture Notes in Computer Science, page 1-15. Springer, (2017)

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Relational Kernel-Based Grasping with Numerical Features., , and . ILP, volume 9575 of Lecture Notes in Computer Science, page 1-14. Springer, (2015)Learning relational affordance models for robots in multi-object manipulation tasks., , , , and . ICRA, page 4373-4378. IEEE, (2012)Improving the SIFT descriptor with smooth derivative filters., , and . Pattern Recognit. Lett., 30 (1): 18-26 (2009)Robotic hand synergies for in-hand regrasping driven by object information., , and . Auton. Robots, 47 (4): 453-464 (April 2023)Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy., , , , , , , , , and 9 other author(s). Artif. Intell. Medicine, (2019)Unsupervised and Online Update of Boosted Temporal Models: The UAL2Boost., , and . ICMLA, page 907-912. IEEE Computer Society, (2010)Reaching and grasping kitchenware objects., , , , , , and . SII, page 865-870. IEEE, (2012)Model Based Selection and Classification of Local Features for Recognition Using Gabor Filters., , and . ICIAR (2), volume 4142 of Lecture Notes in Computer Science, page 181-192. Springer, (2006)The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures*., , , , , and . IROS, page 2593-2600. IEEE, (2019)On the Perceptual Advantages of Visual Suppression Mechanisms for Dynamic Robot Systems., , , and . BICA, volume 88 of Procedia Computer Science, page 505-511. Elsevier, (2016)