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Predicting the unobservable Visual 3D tracking with a probabilistic motion model., , , , , , and . ICRA, page 1849-1855. IEEE, (2011)Hypothesis-based Belief Planning for Dexterous Grasping., , , , , and . CoRR, (2019)Feature-Based Transfer Learning for Robotic Push Manipulation., , and . ICRA, page 1-5. IEEE, (2018)Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories., , , , and . IROS, page 907-914. IEEE, (2016)Kinematically optimised predictions of object motion., , , and . IROS, page 4422-4427. IEEE, (2014)Generative grasp synthesis from demonstration using parametric mixtures., , , , and . CoRR, (2019)Active vision for dexterous grasping of novel objects., , and . IROS, page 2881-2888. IEEE, (2016)The PlayMate System., , , , , , , , , and 4 other author(s). Cognitive Systems, volume 8 of Cognitive Systems Monographs, Springer, (2010)Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty., , , , , , and . IROS, page 4013-4020. IEEE, (2013)Active vision for dexterous grasping of novel objects., , and . CoRR, (2017)