General Research of Actions and Skilled Performance (GRASP)

GRASP is a university-affiliated research lab focused on collecting high-quality, multimodal recordings of natural hand use to accelerate prosthetic control research. Our datasets are used to train and evaluate algorithms that translate human intent into reliable, fine-grained prosthetic movement. Participant privacy, clear consent, and ethical data use are core commitments.

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Impact areas

• Improved intent detection for intuitive control

• Better grasp and grip adaptation across objects and tools

• Personalized calibration routines for individual users

• Faster research-to-clinic translation for new controllers

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