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