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Development of autonomous underwater vehicles in Japan

Advanced Robotics, 2002
In the hope of expanding underwater observation and research, the Institute of Industrial Science (IIS) at the University of Tokyo started extensive R&D on autonomous underwater vehicle (AUV) in 1984. IIS has constructed nine vehicles, including three ocean-going vehicles, one lake survey vehicle and various testbed vehicles.
openaire   +1 more source

A review on the hydrodynamic characteristics of autonomous underwater vehicles

Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 2021
Jyoti Prakash Panda, Arindam Mitra
exaly  

Autonomous Underwater Vehicle Systems

1997
Abstract : The long-term goal is to understand the physical and biological relationships often requires high resolution sampling far exceeding present capabilities. If spatially adaptive sampling can be developed, data resolution can be greatly improved over that presently possible with conventional sensor platforms.
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Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles in Uncertain Environments

IEEE Transactions on Automation Science and Engineering, 2021
Shahab Heshmati-Alamdari   +2 more
exaly  

A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability

IEEE Communications Surveys and Tutorials, 2021
Yue Yang, Yang Xiao, Tieshan Li
exaly  

A novel adaptive second-order sliding mode controller for autonomous underwater vehicles

Adaptive Behavior, 2021
Rupam Gupta Roy, Dibyendu Ghoshal
exaly  

Distributed circumnavigation control of autonomous underwater vehicles based on local information

Systems and Control Letters, 2021
Linlin Shi, Ronghao Zheng, Meiqin Liu
exaly  

Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles

IEEE Robotics and Automation Magazine, 2019
Yvan Petillot   +2 more
exaly  

Depth control of autonomous underwater vehicles using indirect robust control method

International Journal of Control, 2012
Hejia Pan, Ming Xin
exaly  

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