Local Policies Enable Zero-shot Long-Horizon Manipulation

from Embodied AI 101 · host Shaoqing Tan

Proposes training local policies in simulation that transfer zero-shot to real-world long-horizon robotic manipulation tasks. Addresses the challenge of generalizing learned behaviors across extended task sequences.

Episode metadata supplied by the publisher feed · Published Jul 19, 2026

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Local Policies Enable Zero-shot Long-Horizon Manipulation

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