Underwater robots can now track diver stress via exhaled bubbles

University of Minnesota researchers have developed an AI system that enables underwater robots to track diver stress levels by analyzing exhaled bubbles, a breakthrough that could improve safety for commercial and scientific divers. The system, detailed in a study published in IEEE Robotics and Automation Letters, uses machine learning to classify bubble patterns as indicators of physiological stress.