首页|New Data from Peking University Illuminate Findings in Robotics (A Multimodal Ap proach Based On Large Vision Model for Closerange Underwater Target Localizatio n)
New Data from Peking University Illuminate Findings in Robotics (A Multimodal Ap proach Based On Large Vision Model for Closerange Underwater Target Localizatio n)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Beijing, Peopl e's Republic of China, by NewsRx journalists, research stated, "Underwater targe t localization uses real-time sensory measurements to estimate the position of u nderwater objects of interest, providing critical feedback information for under water robots in tasks, such as obstacle avoidance, scientific exploration, and e nvironmental monitoring. While acoustic sensing is the most acknowledged and com monly used method in underwater robots and possibly the only effective approach for long-range underwater target localization, such a sensing modality generally suffers from low resolution, high cost, and high energy consumption, thus leadi ng to a mediocre performance when applied to close-range underwater target local ization."
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsPeking Univers ity
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