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Many robotic policies that seem successful in manipulation tasks actually compromise safety, with SoftVTBench revealing a stark contrast between goal completion and physical safety metrics.
ART-Glove captures human dexterity and contact interactions with unprecedented precision, paving the way for more effective robot learning.
HiPi achieves a remarkable improvement in tactile sensing accuracy, boosting contact geometry preservation scores by over 85% compared to prior reproducible designs.
Humanoid robots can now perform complex, contact-rich manipulation tasks with significantly improved dexterity and success by "dreaming" about the feel of their actions.
