AI underwater robots can now track diver stress via exhaled bubbles

University of Minnesota researchers have developed an AI system that allows underwater robots to monitor diver stress and respiratory distress in real-time by analysing exhaled bubble patterns, solving a long-standing challenge where traditional wearable sensors fail underwater. The system categorises breathing as below-normal, normal, or above-normal and has been tested across multiple environments from Lake Superior to the Caribbean.

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