Wearable Robots for Human Underwater Movement Ability Enhancement: A Survey

被引:24
作者
Xia, Haisheng [1 ,2 ]
Khan, Muhammad Alamgeer [1 ]
Li, Zhijun [1 ,2 ]
Zhou, MengChu [3 ,4 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China
[2] Hefei Comprehens Natl Sci Ctr, Inst Artificial Intelligence, Hefei 230026, Peoples R China
[3] New Jersey Inst Technol, Helen & John C Hartmann Dept Elect & Comp Engn, Newark, NJ 07102 USA
[4] St Petersburg State Marine Tech Univ, Dept Cyber Phys Syst, St Petersburg 198262, Russia
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Cyborg intelligence; diving; exoskeleton; intention perception; modeling and control; swimming; underwater exoskeletons; underwater robots; wearable robots; TRACKING CONTROL; DOLPHIN KICK; WALKING; EXOSKELETON; MODEL; KINEMATICS; RECOGNITION; ASSISTANCE;
D O I
10.1109/JAS.2022.105620
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Underwater robot technology has shown impressive results in applications such as underwater resource detection. For underwater applications that require extremely high flexibility, robots cannot replace skills that require human dexterity yet, and thus humans are often required to directly perform most underwater operations. Wearable robots (exoskeletons) have shown outstanding results in enhancing human movement on land. They are expected to have great potential to enhance human underwater movement. The purpose of this survey is to analyze the state-of-the-art of underwater exoskeletons for human enhancement, and the applications focused on movement assistance while excluding underwater robotic devices that help to keep the temperature and pressure in the range that people can withstand. This work discusses the challenges of existing exoskeletons for human underwater movement assistance, which mainly includes human underwater motion intention perception, underwater exoskeleton modeling and human-cooperative control Future research should focus on developing novel wearable robotic structures for underwater motion assistance, exploiting advanced sensors and fusion algorithms for human underwater motion intention perception, building up a dynamic model of underwater exoskeletons and exploring human-in-the-loop control for them.
引用
收藏
页码:967 / 977
页数:11
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