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Prosthetic hand data to train industrial robots

By PulseAugur Editorial · [1 sources] ·

PSYONIC, a maker of prosthetic hands, is collaborating with NVIDIA and ABB Robotics to address the data problem in physical AI. Their approach involves using data captured from their touch-sensing Ability Hand, worn by patients, to train industrial robots in dexterous manipulation. This method aims to provide robots with the nuanced understanding of grip force, touch, and timing that is currently lacking, potentially serving as robotics' equivalent to the ImageNet dataset for computer vision. AI

IMPACT Could accelerate robot dexterity by providing a novel, high-fidelity data source for training manipulation skills.

RANK_REASON This is a collaboration between a medical device company and robotics/AI firms to improve robot manipulation, rather than a direct release of a new frontier model or significant industry-wide policy/funding event.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Prosthetic hand data to train industrial robots

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This is a collaboration between a medical device company and robotics/AI firms to improve robot manipulation, rather than a direct release of a new frontier model or significant industry-wide polic…
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Sandy Carter, Contributor ·

    PSYONIC Arms NVIDIA And ABB With Robots Dexterity Data

    PSYONIC turns its FDA-cleared bionic hand into a data engine, feeding ABB and NVIDIA robots the human dexterity data physical AI has lacked for the warehouse age.

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