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Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation.

, , , and . IEEE Robotics Autom. Lett., 6 (4): 8583-8590 (2021)

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On the Stability of Closed-Loop Inverse Kinematics Algorithms for Redundant Robots., and . IEEE Trans. Robotics, 27 (4): 780-784 (2011)On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation., , , and . IEEE Robotics Autom. Lett., 3 (2): 1482-1489 (2018)Learning Deep Neural Policies with Stability Guarantees., , , and . CoRR, (2021)A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control., , and . IEEE Robotics Autom. Lett., 3 (3): 2608-2615 (2018)Learning Stable Normalizing-Flow Control for Robotic Manipulation., , , and . CoRR, (2020)Encoding human actions with a frequency domain approach., , , and . IROS, page 5304-5311. IEEE, (2016)Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation., , , and . IEEE Robotics Autom. Lett., 6 (4): 8583-8590 (2021)Low-level flexible planning for mobile manipulators: a distributed perception approach., and . Adv. Robotics, 28 (21): 1431-1444 (2014)On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications., , , , , and . CoRR, (2022)A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration., , , , and . IEEE Trans. Robotics, 35 (4): 987-998 (2019)