vtam-video-tactile-action-models

Replace vision-only Video-Action Models with a video-tactile fusion architecture using tactile regularization loss to prevent visual dominance, improving contact-rich manipulation success from baseline to 90% on complex tasks (80% improvement on high-precision pick-and-place). Effective when robots interact with objects requiring fine-grained force awarenes…

Independent GitHub snapshot · Automated classification · Original documentation governs