AI Robots Track Diver Stress Through Bubbles
University of Minnesota researchers have developed an AI system that monitors scuba divers' health by analyzing their exhaled bubbles. This non-contact technology allows robots to detect signs of stress or respiratory distress in underwater environments.
Why it matters
This innovation addresses significant safety challenges in underwater exploration where traditional medical sensors are ineffective.
MINNEAPOLIS / ST. PAUL (07/27/2026) - University of Minnesota Twin Cities researchers have developed a first-of-its-kind AI system that allows underwater companion robots to monitor a diver's health in real-time, simply by "watching" their exhaled bubbles.
Published in The International Journal of Robotics Research, the paper marks the first time robotic vision has been used to estimate a diver's Human Respiration Rate (HRR).
Scuba diving, particularly in extreme environments, is inherently risky and places humans under intense physical stress - ranging from exhaustion to life-threatening respiratory distress. By tracking the frequency and volume of bubbles exhaled from a diver's regulator, camera-equipped robots can now detect signs of stress, hyperventilation or exhaustion in real-time.
This non-contact approach solves a long-standing challenge where traditional medical sensors and wearables often fail underwater because thick wetsuits or drysuits block the contact needed for accurate readings. Wireless data transmission through water is also severely limited.
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