7 citations · 7 across the 4 of their papers we have counts for
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cs.RO2026
Improving Cross-embodiment Transfer in Latent Action Models with Action-Similarity Supervision
Maxime Alvarez, Renzo Caballero, Tatsuya Matsushima +2
As generalist robot policies gain vision and language from web-scale pretraining, demonstrations remain costly to collect and tied to the robot that recorded them. Latent action mo…
cs.RO2026
When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation
Maxime Alvarez, Ryo Watanabe, Paul Crook +4
As end-to-end robotic policies are progressively deployed in the real world to solve real tasks, they face a gap between the training and inference conditions. Scaling the amount a…