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A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control.

, , and . IEEE Robotics Autom. Lett., 3 (3): 2608-2615 (2018)

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On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation., , , and . IEEE Robotics Autom. Lett., 3 (2): 1482-1489 (2018)On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications., , , , , and . ICRA, page 5807-5813. IEEE, (2023)Learning Stable Normalizing-Flow Control for Robotic Manipulation., , , and . CoRR, (2020)Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation., , , and . IEEE Robotics Autom. Lett., 6 (4): 8583-8590 (2021)On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications., , , , , and . CoRR, (2022)Low-level flexible planning for mobile manipulators: a distributed perception approach., and . Adv. Robotics, 28 (21): 1431-1444 (2014)Encoding human actions with a frequency domain approach., , , and . IROS, page 5304-5311. IEEE, (2016)A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control., , and . IEEE Robotics Autom. Lett., 3 (3): 2608-2615 (2018)Comparison between Behavior Trees and Finite State Machines., , , , , and . CoRR, (2024)Data-efficient control policy search using residual dynamics learning., , , and . IROS, page 4709-4715. IEEE, (2017)