Yes.
I don't know what your thresholds for impressive might be, or what your basis of comparison is, but pure control theory seems to be at a bit of a dead end, whereas reinforcement learning allows for greater flexibility and robustness for control tasks, subject to your willingness to gather (or simulate) a lot of training data[0].
See for example this video[1] in which OpenAI shows off a robotic arm with "unprecedented" dexterity.
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0. https://www.youtube.com/watch?v=ZVIxt2rt1_4 for a video (there's also an associated paper) about setting up RL tasks for robots.