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Hierarchical tactile modeling boosts robot manipulation success rates by over 40% in contact-rich tasks, revealing the power of structured tactile forecasting.
FeelWorld achieves a 61% reduction in prediction error compared to visual-only baselines, revolutionizing how we model tactile interactions in robotics.
Tactile robotic perception gets a boost with a new pretraining method that explicitly encodes force, geometry, and orientation, leading to a 52% reduction in regression error.
