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A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification.

, , , and . CoRR, (2023)

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Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze., , , , and . ICRA, page 3195-3202. IEEE, (2019)Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning., , , and . CoDIT, page 1126-1131. IEEE, (2023)A novel Multiplicative Polynomial Kernel for Volterra series identification., , and . CoRR, (2019)Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements., , , , and . IEEE Robotics Autom. Lett., 5 (2): 3548-3555 (2020)Kernel-based methods for Volterra series identification., , and . Autom., (2021)Autonomous Learning of the Robot Kinematic Model., , , and . IEEE Trans. Robotics, 37 (3): 877-892 (2021)Controlling and powering a fully implantable artificial pancreas refillable by ingestible pills., , , , , , , , , and 4 other author(s). EMBC, page 1-7. IEEE, (2023)A novel geometrically inspired polynomial kernel for robot inverse dynamics., and . CoRR, (2019)Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods., , , , and . CoRR, (2024)Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning., , , , and . CoRR, (2023)