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Robot Foundation Model

Robot foundational models can address major obstacles in robot learning and enable training on action-free data including video. This is essential for enabling reasoning about novel situations and robustly handling real-world variability.

R&D Gaps (1)

Bridging the gap between simulated robot behavior and real-world performance remains a significant challenge, particularly for tactile interactions and complex environments.