TactX learns a shared latent representation across three tactile sensor modalities via joint training on paired contacts, enabling zero-shot policy transfer and higher success on pick-and-place, insertion, wiping, and reorientation tasks.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
VibeAct bridges real vibro-acoustic sensing and sim-based RL via a shared contact/slip representation, outperforming proprioception baselines on contact-rich dexterous tasks with successful real-world transfer.
citing papers explorer
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TactX: Learning Shared Tactile Representations Across Diverse Sensors
TactX learns a shared latent representation across three tactile sensor modalities via joint training on paired contacts, enabling zero-shot policy transfer and higher success on pick-and-place, insertion, wiping, and reorientation tasks.
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VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity
VibeAct bridges real vibro-acoustic sensing and sim-based RL via a shared contact/slip representation, outperforming proprioception baselines on contact-rich dexterous tasks with successful real-world transfer.