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On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
We study the choice of action space in robot manipulation learning and sim-to-real transfer.
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
We unify previous adaptation techniques, for example, various types of obstacle avoidance, via-points, mutual avoidance, in one single framework and combine them to solve complex robotic problems.
Robotics
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