EgoTactile benchmark and EgoPressureDiff diffusion framework for estimating full-hand grasp pressure from egocentric video.
A humanoid visual-tactile-action dataset for contact-rich manipulation.arXiv preprint arXiv:2510.25725
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HTD, a multimodal transformer policy trained with behavioral cloning and touch dreaming to predict future tactile latents, achieves a 90.9% relative success rate improvement over baselines on five real-world contact-rich humanoid loco-manipulation tasks.
A comprehensive survey that organizes the literature on world models in robot learning, their roles in policy learning, planning, simulation, and video-based generation, with connections to navigation, driving, datasets, and benchmarks.
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EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
EgoTactile benchmark and EgoPressureDiff diffusion framework for estimating full-hand grasp pressure from egocentric video.