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Dexterity — Blog·· 174 days agoSignalEditorial score88

Introducing Instinct

Introducing Instinct

Summary

Dexterity has deployed Instinct, a tactile intelligence system that enables robots to perform force-guided manipulation with zero retraining. Instinct reacts to contact forces in 0.5–2 ms, 10–100× faster than human touch, and adapts in real time to constrained placements. It integrates with Dexterity’s world model, Foresight, to update contextual understanding through contact data, achieving an 81% success rate in production with adaptive strategies.

Full article

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Editorial context

Dexterity introduces Instinct, a tactile intelligence system that closes the gap between sensing contact and acting intelligently on it. It operates at 500–2,000 Hz, reacting in 0.5–2 ms, 10–100× faster than human touch. Proven in production with an 81% success rate and adaptive strategies for constrained placements, Instinct integrates with Dexterity’s world model, Foresight, to update contextual

What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Environment
Reported productionOpen source E1

What remains unknown

Not established in the collected evidence: Control, Data origin.

Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

Dexterity is the only company that has deployed Physical AI with the sense of touch and force control in production.

Open source E1

Implications for data suppliers

RoboSignal interpretation and collection questions, not statements of buyer demand.

  • Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
  • Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.

Source:Dexterity — Blog · dexterity.ai