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Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation.

, , , , , , and . IEEE Trans. Robotics, 32 (4): 960-972 (2016)

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Hierarchical Fingertip Space for multi-fingered precision grasping., , and . IROS, page 1641-1648. IEEE, (2014)Integrated motion and clasp planning with virtual linking., , and . IROS, page 3007-3014. IEEE, (2013)Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning., , , , and . CoRR, (2019)Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation., , , , , and . CoRR, (2018)Data-Driven Model Predictive Control for Food-Cutting., , , and . CoRR, (2019)Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation., , , , , and . ICRA, page 2153-2160. IEEE, (2019)Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation., , , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 641-650. PMLR, (2018)Probabilistic consolidation of grasp experience., , , , , and . ICRA, page 193-200. IEEE, (2016)Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation., , , , , , and . IEEE Trans. Robotics, 32 (4): 960-972 (2016)Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning., , , , and . ICRA, page 270-277. IEEE, (2018)