New AI technique allows robots to detect human touch by analyzing shadows – The Next Web

Scientists from Cornell University have developed a way for robots to identify physical interactions just by analyzing a users shadows.
Their ShadowSense system uses an off-the-shelf USB camera to capture the shadows produced by hand gestures on a robots skin. Algorithms then classify the movements to infer the users specific interaction.
Study lead author Guy Hoffman said the method provides a natural way of interacting with robots without relying on large and costly sensor arrays:
Touch is such…

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