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MIT researchers channel AI to turn hand gestures into robot training data

Humanoid robots struggling with tasks like grasping a cup have a new teacher — a person wearing an ultrasound wristband that captures the movement of muscles, tendons and ligaments beneath the skin. Researchers at the Massachusetts Institute of Technology developed the tool to collect data of human hand motion that could eventually help robots achieve the dexterity that has been difficult for machines to master. As much of the tech world is still captivated with artificial intelligence assistants that are taking on computer-based tasks, the researchers are among the scientists trying to imbue AI with more sensory data from the physical world.

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MIT researchers channel AI to turn hand gestures into robot training data

Why it matters: Device and autonomy signals show where edge AI demand is moving, which can create new integration and tooling opportunities.

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