A decade of robot skill learning: from mass imitation to few-shot RL
stepjamUK · x · 2026-09-02
In an Automate Further talk, the author traces a decade of robot skill learning: early imitation learning requiring hundreds of thousands of grasps, through sim-to-real transfer, to RL agents that improve from just a handful of demonstrations. He argues the stack is mature and deployable on real-world problems today.
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