@omarrayyann: Meet FetchMan: a vision-based humanoid policy trained entirely in simulation that transfers zero-shot to diverse real-w…
Summary
FetchMan is a vision-based humanoid policy trained entirely in simulation, capable of zero-shot transfer to diverse real-world scenes and objects for loco-manipulation tasks.
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Cached at: 08/23/26, 07:43 AM
Meet FetchMan: a vision-based humanoid policy trained entirely in simulation that transfers zero-shot to diverse real-world scenes and objects.
Simulation has produced impressive locomotion policies that transfer to the real world. We wanted to see how far the same recipe goes for vision-based loco-manipulation. More below
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