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Achieving robust long-horizon manipulation with significantly less training data, this framework redefines efficiency in robotic learning through compositional motion generation.
Achieve robust robot control through intersections by learning phase-conditioned potential functions, sidestepping the instability issues of velocity-dependent methods.
