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Journal ArticleDOI

Design and Control of Autonomous Underwater Robots: A Survey

Junku Yuh
- 01 Jan 2000 - 
- Vol. 8, Iss: 1, pp 7-24
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TLDR
This paper surveys some key areas in current state-of-the-art underwater robotic technologies, by no means a complete survey but provides key references for future development.
Abstract
During the 1990s, numerous worldwide research and development activities have occurred in underwater robotics, especially in the area of autonomous underwater vehicles (AUVs). As the ocean attracts great attention on environmental issues and resources as well as scientific and military tasks, the need for and use of underwater robotic systems has become more apparent. Great efforts have been made in developing AUVs to overcome challenging scientific and engineering problems caused by the unstructured and hazardous ocean environment. In the 1990s, about 30 new AUVs have been built worldwide. With the development of new materials, advanced computing and sensory technology, as well as theoretical advancements, R&D activities in the AUV community have increased. However, this is just the beginning for more advanced, yet practical and reliable AUVs. This paper surveys some key areas in current state-of-the-art underwater robotic technologies. It is by no means a complete survey but provides key references for future development. The new millennium will bring advancements in technology that will enable the development of more practical, reliable AUVs.

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Citations
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TL;DR: This paper presents a modeling technique for the Underwater Vehicle-Manipulator System (UVMS) using the DeNOC matrices and results obtained were found in good agreement with the experimental results, even with the constant hydrodynamic coefficients.
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Underwater floating robot-fish: a comparative analysis of the results of mathematical modelling and full-scale tests of the prototype

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Tracking Control Scheme for Multiple Autonomous Underwater Vehicles Subject to Union of Boundaries

TL;DR: In this paper, a region boundary-based tracking control for multiple autonomous underwater vehicles (MAUVs) is proposed, which enables MAUVs to track a moving target formed by the union of two or more boundaries.
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Integrate and Optimized Design of a Hydraulic Underwater Manipulator

TL;DR: In this article, a 7-function underwater manipulator is designed, except forearm rotation and wrist rotation which use hydraulic motors, other functions are driven by hydraulic cylinders, whose parameters are determined by force analysis and limit positions.
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Multiobjective Risk-Aware Path Planning in Uncertain Transient Currents: An Ensemble-Based Stochastic Optimization Approach

TL;DR: A stochastic problem is formulated that aim to minimize a risk measure of the travel time or energy consumption, using a flexible methodology that enables the user to seamlessly explore various objectives, ranging from risk neutral to risk averse.
References
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Book

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Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles

TL;DR: In this article, a sliding-mode autopilot is designed for the combined steering, diving, and speed control functions of an AUV, assuming decoupled modeling, and the influence of speed, modeling nonlinearity, uncertainty, and disturbances can be effectively compensated.
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Robust trajectory control of underwater vehicles

TL;DR: In this article, a recent extension of sliding mode control is shown to handle nonlinearities, is highly robust to imprecise models, explicitly accounts for the presence of high-frequency unmodeled dynamics, and produces designs that are easy to understand.
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The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design

TL;DR: In this paper, a nonlinear parametric model of a torque-controlled thruster is developed and experimentally confirmed, and three forms of compensation are tested, utilizing a hybrid simulation combining an instrumented thruster with a real-time mathematical vehicle model.
Journal ArticleDOI

Estimates of Coastal Populations

TL;DR: The first public digital map of the world's human population appeared in 1995 and was used by Cohen et al. as discussed by the authors to obtain more precise estimates of coastal populations as of 1994.