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Transforming kinematically feasible motion references into dynamically accurate trajectories could revolutionize how robots learn complex contact-rich behaviors.
Domain randomization doesn't just make your robot policies more robust; it fundamentally warps the optimization landscape, potentially guiding your search towards better contact-rich behaviors.