
PSYONIC, NVIDIA, and ABB are sharing dexterity data collected from amputee prosthetic hands. The data captures real-world grip force, finger position, and micro-adjustments during object manipulation. This high-fidelity dataset aims to train robots to handle delicate and irregular items in dynamic industrial settings. The collaboration targets improved robotic dexterity in unstructured environments.
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