Movement primitives are a common representation of movements in robotics for imitation learning, reinforcement learning, and black-box optimization of behaviors. There are many types and variations.

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Abstract: The paper compares various approaches to implementing a compliant Cartesian behavior for robotic manipulators: impedance, admittance and stiffness control. A new controller structure is ...

Abstract: As a promising branch of robotics, imitation learning emerges as an important way to transfer human skills to robots, where human demonstrations represented in Cartesian or joint spaces are ...