农业机械学报2025，Vol.56Issue(10)：20-35,16.DOI:10.6041/j.issn.1000-1298.2025.10.002
渔业水下机器人研究综述
Research Review on Underwater Robotics in Fisheries
摘要
Abstract
With the intelligent technologies development of underwater robots,they demonstrated significant potential capabilities in the field of aquaculture.Their applications primarily focused on three key areas:environmental monitoring,biological identification and harvesting,and cage maintenance.And the significant operational advantages of underwater robots used in aquaculture were mainly reflected in enhanced efficiency,safeguarded ecological security,and reduced operational risks.Moreover,this review summarized the current applications and developmental status of underwater robots in aquaculture.To address the bottleneck of endurance capability of underwater robotic in aquaculture operations,the impact of thruster configuration and mechanical structure on energy consumption was analyzed.Based on this analysis,relevant technological pathways for reducing energy consumption were proposed.It has been noted that underwater robots encountered several challenges in the context of fishery aquaculture development,including limited capability in perception information fusion,insufficient adaptability to environmental conditions,and inadequate fluid dynamic design.To address these issues,current research suggested that future advancements in fishery underwater robots should focus on the integration of interdisciplinary technologies,promoting the development of bionic and intelligent systems.This approach aimed to optimize perception fusion systems,intelligent algorithms,and structural design,thereby supporting the transformation of fishery aquaculture toward intelligent and precision-based production.关键词
水下机器人/渔业养殖/环境监测/生物识别与捕获/网箱维护/续航能力Key words
underwater robots/aquaculture/environmental monitoring/biological identification and harvesting/cage maintenance/endurance分类
信息技术与安全科学引用本文复制引用
周焕银,朱睿鹏,刘金生..渔业水下机器人研究综述[J].农业机械学报,2025,56(10):20-35,16.基金项目
江西省科技厅重点基金项目(20224ACB204022)和国家自然科学基金项目(62063001) （20224ACB204022）
