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Maxime Alvarez

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#artificial intelligence Preprint Sep 2026

Improving Cross-embodiment Transfer in Latent Action Models with Action-Similarity Supervision

This work evaluates cross-embodiment transfer on RoboTwin 2.0 in a controlled setup, two bimanual robots demonstrate disjoint task sets, a policy is trained on all the demonstrations, and each robot is evaluated closed-loop on the tasks only the other demonstrated.

Maxime Alvarez, Renzo Caballero, T. Matsushima et al. · 0 citations

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