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Model-based variable impedance learning control for robotic manipulation.

, , and . Robotics Auton. Syst., (December 2023)

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A direct approach to solving trajectory planning problems using genetic algorithms with dynamics considerations in complex environments., , , and . Robotica, 33 (3): 669-683 (2015)Model-based variable impedance learning control for robotic manipulation., , and . Robotics Auton. Syst., (December 2023)Toward Orientation Learning and Adaptation in Cartesian Space., , , and . IEEE Trans. Robotics, 37 (1): 82-98 (2021)Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning., , , , and . ICMLA, page 1-6. IEEE, (2022)Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview., , , , , , and . Inf. Fusion, (2024)Variable Impedance Control and Learning - A Review., and . Frontiers Robotics AI, (2020)Trajectory Optimization on Matrix Lie Groups with Differential Dynamic Programming and Nonlinear Constraints., , and . CoRR, (2023)Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions., , , and . CoRR, (2024)Trajectory Adaptation and Learning for Ankle Rehabilitation Using a 3-PRS Parallel Robot., , , , , and . ICIRA (2), volume 9245 of Lecture Notes in Computer Science, page 483-494. Springer, (2015)Parallel-Populations Genetic Algorithm for the Optimization of Cubic Polynomial Joint Trajectories for Industrial Robots., , , and . ICIRA (1), volume 7101 of Lecture Notes in Computer Science, page 83-92. Springer, (2011)