Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
AI Robots Enhance Underwater Safety by Monitoring Divers' Breathing Through Bubble Analysis
A research team from the University of Minnesota Twin Cities has developed an innovative AI model that enables underwater companion robots to monitor divers' breathing rates in real-time by analyzing the bubbles they exhale. This groundbreaking study, published in the International Journal of Robotics Research, marks the first application of computer vision for underwater human respiration tracking, providing a new technological pathway for diving safety. The underwater environment poses significant physiological challenges, such as fatigue, hyperventilation, and pressure fluctuations, which are amplified in deep-sea conditions. Traditional biosensors are ineffective underwater due to the heavy diving suits that obstruct skin contact, and wireless data transmission through water is often unstable. The research team's solution allows robots to 'see' breathing by training autonomous underwater vehicles (AUVs) equipped with cameras to analyze the volume and frequency of exhaled bubbles, categorizing the diver's breathing patterns as 'below normal,' 'normal,' or 'above normal.' This technology has implications beyond academia, benefiting commercial diving, scientific exploration, and military operations. A robot partner capable of interpreting the physiological state of a team in real-time can mitigate potential safety hazards early on. As robots evolve from mere task executors to proactive assessors of partner conditions, the dangers of deep-sea environments are being redefined, all starting from the interpretation of a series of bubbles.
Underwater Robotics AI Technology Diving Safety Computer Vision Marine Research
DEEP Robotics Integrates Quadruped Robots and AI for Warehouse Inventory Management and Safety Monitoring
DEEP Robotics has launched an innovative warehouse operation solution that combines quadruped robots with advanced AI models. This system, unveiled on July 31, 2026, enables one-click inventory management, significantly enhancing end-to-end operational efficiency in logistics and warehouse management. The technology automates tasks traditionally reliant on human resources, accelerating the digital transformation of warehouses. DEEP Robotics' quadruped robots autonomously navigate the warehouse, performing various tasks such as automatic identification of goods through QR code and RFID tag scanning, thus building accurate inventory data. Additionally, the integration of digital twin technology allows real-time visualization of the entire warehouse environment. This solution not only improves inventory accuracy but also enhances safety through early fire detection and unauthorized entry monitoring. DEEP Robotics is setting new standards in the logistics industry by merging inventory management, safety monitoring, and data-driven decision-making.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
