水产养殖现场机器人：应用、经验教训与未来展望
Aquaculture field robotics: Applications, lessons learned and future prospects
AI总结：
本文综述了水产养殖现场机器人的应用，重点探讨水下航行器在动态环境中的导航挑战，通过现场实验提升自主性，并总结试验经验与未来发展方向。
摘要：
水产养殖是一个大型海洋产业，有助于保障全球粮食需求。水下航行器，如遥控潜水器（ROVs），通常用于养鱼场的检查、维护和干预（IMR）任务。然而，水产养殖中的水下航行器操作面临若干独特且苛刻的挑战，例如在具有时变海载荷和声学传感器性能不佳的动态变化环境中导航，这些挑战尚未在研究中得到妥善解决。本文将介绍为解决这些问题并提高水产养殖机器人整体自主水平所做的各种努力，重点关注现场实验。我们还将讨论现场试验中获得的经验教训以及水产养殖机器人领域的潜在未来前景。
英文摘要：
Aquaculture is a big marine industry and contributes to securing global food demands. Underwater vehicles such as remotely operated vehicles (ROVs) are commonly used for inspection, maintenance, and intervention (IMR) tasks in fish farms. However, underwater vehicle operations in aquaculture face several unique and demanding challenges, such as navigation in dynamically changing environments with time-varying sealoads and poor hydroacoustic sensor capabilities, challenges yet to be properly addressed in research. This paper will present various endeavors to address these questions and improve the overall autonomy level in aquaculture robotics, with a focus on field experiments. We will also discuss lessons learned during field trials and potential future prospects in aquaculture robotics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
