抓住
水下
机器人
过程(计算)
计算机科学
有机体
冗余(工程)
模拟
工程类
人工智能
人机交互
古生物学
海洋学
生物
程序设计语言
地质学
操作系统
作者
Hai Huang,Qirong Tang,Jiyong Li,Wanli Zhang,Xuan Bao,Haitao Zhu,Gang Wang
标识
DOI:10.1016/j.oceaneng.2019.106644
摘要
The worldwide demands for high protein seafood are growing rapidly. Through robots instead of divers completing the capture will not only reduce the cost, but also improve the operation safety. Although a great number of underwater vehicles have been developed, it is still difficult for them to realize agile and uninjured sea organism capturing autonomously. This paper is proposed to investigate the current state of art about underwater autonomous and dexterous operation robot, underwater autonomous environmental perception, underwater vehicle-manipulator system modeling and coordinated control, target uninjured grasp; in order to analyze the difficulties and research methodologies for the robot development of sea organism autonomous and uninjured capture. To make analysis on the organism autonomous capture process, this article has presented two different open frame underwater vehicles, the absorption type one and the grasp type one. Analysis including autonomous visual search and detection process, acceleration-level task priority redundancy resolution approach for trajectory planning and grasp capture. Experiments with the organism autonomous grasp and absorption process have both been purposed.
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