Cybersecurity

Teaching a Robot Hand to Walk

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Researchers at ETH Zurich have developed a robotic hand capable of ambulating and manipulating objects using its fingers as legs, controlled by a neural network. This advancement has implications for cybersecurity as it demonstrates increasingly sophisticated autonomous robotic systems, potentially impacting physical security measures and creating new attack vectors involving mobile robotic platforms. The technology’s accessibility, as highlighted by the use of readily available components, suggests we may see similar, adaptable robotic systems emerge and be integrated into various environments.

Read the full article at Hackaday

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