水下
海床
海洋工程
环境科学
适应性
珊瑚礁
扰动(地质)
暗礁
海洋生态系统
底栖区
海洋学
地质学
计算机科学
生态系统
生态学
工程类
生物
古生物学
作者
Kaixin Liu,Mingxuan Ding,Biye Pan,YU Pei-qing,Dake Lu,Siwen Chen,Shuo Zhang,Gang Wang
标识
DOI:10.1038/s41467-024-54600-8
摘要
Underwater robots can collect comprehensive information on species and habitats when conducting seabed operations, enhancing localized insights and expanding underwater ecological understanding. One approach uses autonomous underwater vehicles, but proximity operations may disturb sediments and compromise observation quality. Another approach uses wheeled or legged benthic robots, but unavoidable contact limits their application in delicate ecosystems like coral reefs. To address these challenges, we propose a maneuverable underwater vehicle for near-seabed observations. This vehicle moves with minimal turbulence and shows strong resistance to external disturbances, enabling high-quality seabed observation as close as 20 cm. It rapidly detects intense disturbances like turbulence and wall effects, allowing real-time path planning to prevent bottoming. Multiple tests in various marine environments, including sandy areas, coral reefs, and sheer rock, show low sediment disturbance and improved adaptability to rugged underwater terrain. Underwater robots can be used to observe the seabed, but current underwater vehicles or robots may damage ecosystems like coral reefs. This study designs an underwater vehicle that minimizes sediment disturbance, enhancing adaptability to rugged underwater environments.
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