Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations.

IEEE Robotics and Automation Letters(2018)

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摘要
In this letter, we introduce Mixture of Attractors, a novel movement primitive representation that allows for learning complex object-relative movements. The movement primitive representation inherently supports multiple coordinate frames, enabling the system to generalize a skill to unseen object positions and orientations. In contrast to most other approaches, a skill is learned by solving a con...
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关键词
Robot kinematics,Trajectory,Convex functions,Probability distribution,Computational modeling
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