Advancing robotics and touch perception | AI Research from Meta FAIR @AIatMeta
Advancing robotics and touch perception | AI Research from Meta FAIR  @AIatMeta
Uploaded October 2024 | Updated September 2026, 1 hour ago
More details on Meta FAIR's latest advancements in embodied AI: go.fb.me/7mrqd6

Researchers at Meta FAIR are releasing several new research artifacts that advance robotics and support our goal of reaching advanced machine intelligence (AMI). These include Meta Sparsh, the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks; Meta Digit 360, an artificial fingertip-based tactile sensor that delivers detailed touch data with human-level precision and touch-sensing; and Meta Digit Plexus, a standardized platform for robotic sensor connections and interactions that enables seamless data collection, control and analysis over a single cable.

To make these advancements more accessible for different applications, we’re partnering with @GelSight and @wonikroboticsto develop and commercialize these touch-sensing innovations.

Additionally we're releasing PARTNR, a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration. It’s the largest benchmark of its kind to study and evaluate human-robot collaboration in household activities.

## Additional resources
* Meta Sparsh research paper: go.fb.me/7wa7sd
* Meta Sparsh repo: go.fb.me/wkyie0
* Meta Sparsh models on @HuggingFace: go.fb.me/ckhrvy
* Meta Digit Plexus repo: go.fb.me/a8hp7b
* Digit 360 research paper: go.fb.me/9a6cga
* Digit 360 CFP: go.fb.me/dgp15i
* Next generation of Allegro Hand built with Meta — interest form: go.fb.me/i1lm1s
* PARTNR research paper: go.fb.me/2ta3y4
* PARTNR website: go.fb.me/1vy7vh
* PARTNR repo: go.fb.me/7bbfz6

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Advancing robotics and touch perception | AI Research from Meta FAIR

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