AINeutralarXiv – CS AI · 7h ago6/10
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Blind Dexterous Grasping via Real2Sim2Real Tactile Policy Learning
Researchers developed a framework for teaching dexterous robotic hands to grasp objects using only touch sensation, without visual input or real-world demonstrations. The approach combines tactile sensor calibration, geometry-aware learning, and diffusion-based policy aggregation to achieve 27% grasp success on both seen and unseen objects.