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Motion control of underwater robotic vehicles is a demanding task with great challenges imposed by external disturbances, model uncertainties and constraints of the operating workspace. Thus, robust motion control is still an open issue for…

机器人学 · 计算机科学 2019-09-04 Shahab Heshmati-alamdari , Alexandros Nikou , Dimos V. Dimarogonas

Visually-guided underwater robots are deployed alongside human divers for cooperative exploration, inspection, and monitoring tasks in numerous shallow-water and coastal-water applications. The most essential capability of such companion…

机器人学 · 计算机科学 2021-07-30 Md Jahidul Islam

This work assesses the hydrodynamic efficiency of Underwater Unmanned Vehicles (UUVs) equipped with soft morphing wings compared to conventional rigid wings. Unlike rigid wings, deformable counterparts can alter their aerodynamic properties…

Direct communication between humans and autonomous underwater vehicles (AUVs) is a relatively underexplored area in human-robot interaction (HRI) research, although many tasks (\eg surveillance, inspection, and search-and-rescue) require…

机器人学 · 计算机科学 2021-11-09 Michael Fulton , Jungseok Hong , Junaed Sattar

The exploration and sustainable use of marine environments have become increasingly critical as oceans cover over 70% of surface of Earth. This paper provides a comprehensive survey and classification of state-of-the-art underwater vehicles…

系统与控制 · 电气工程与系统科学 2024-12-30 Jiajie Xu , Xabier Irigoien , Mohamed-Slim Alouini

Improved designs for Autonomous Underwater Vehicles (AUV) are becoming increasingly important due to their utility in academic and industrial applications. However, a majority of such testing and design is carried out under conditions that…

流体动力学 · 物理学 2019-05-01 A. Mitra , J. P. Panda , H. V. Warrior

Today AUVs operation still remains restricted to very particular tasks with low real autonomy due to battery restrictions. Efficient motion planning and mission scheduling are principle requirement toward advance autonomy and facilitate the…

机器人学 · 计算机科学 2016-12-06 Somaiyeh Mahmoud. Zadeh , David M. W Powers , Karl Sammut

Reinforcement Learning (RL) is a promising solution, allowing Unmanned Underwater Vehicles (UUVs) to learn optimal behaviors through trial and error. However, existing simulators lack efficient integration with RL methods, limiting training…

机器人学 · 计算机科学 2024-10-21 Shuguang Chu , Zebin Huang , Mingwei Lin , Dejun Li , Ignacio Carlucho

In this paper, we propose a novel cross-platform fault-tolerant surfacing controller for underwater robots, based on reinforcement learning (RL). Unlike conventional approaches, which require explicit identification of malfunctioning…

机器人学 · 计算机科学 2025-10-10 Yuya Hamamatsu , Walid Remmas , Jaan Rebane , Maarja Kruusmaa , Asko Ristolainen

Fin actuators can be used for for both thrust generation and vectoring. Therefore, fin-driven autonomous underwater vehicles (AUVs) can achieve high maneuverability with a smaller number of actuators, but their control is challenging. This…

机器人学 · 计算机科学 2025-04-29 Walid Remmas , Christian Meurer , Yuya Hamamatsu , Ahmed Chemori , Maarja Kruusmaa

Underwater vehicle-manipulator systems (UVMSs) are underwater robots equipped with one or more manipulators to perform intervention missions. This paper provides the mechanical, electrical, and software design of a novel UVMS equipped with…

机器人学 · 计算机科学 2024-08-27 Justin L. Sitler , Long Wang

This paper describes the development and experimental results of navigation algorithms for an autonomous underwater glider (AUG) that uses an on-board acoustic Doppler current profiler (ADCP). AUGs are buoyancy-driven autonomous underwater…

This paper presents preliminary results towards the development of an autonomous ocean observing system using Miniature Underwater Gliders (MUGs) that can operate with the support of Unmanned Aerial Vehicles (UAVs) and Unmanned Surface…

Recent advances in efficient design, perception algorithms, and computing hardware have made it possible to create improved human-robot interaction (HRI) capabilities for autonomous underwater vehicles (AUVs). To conduct secure missions as…

机器人学 · 计算机科学 2023-10-03 Jungseok Hong , Sadman Sakib Enan , Junaed Sattar

This paper presents a modular software architecture that enables environmental-aware coordination of heterogeneous Autonomous Underwater Vehicles (AUVs) to improve underwater acoustic connectivity. The architecture combines a Robot…

网络与互联网体系结构 · 计算机科学 2026-05-25 Davide Cosimo , Davide Costa , Riccardo Costanzi , Filippo Campagnaro , Andrea Caiti , Michele Zorzi

This paper introduces a novel simulation framework for evaluating motion control in tethered multi-robot systems within dynamic marine environments. Specifically, it focuses on the coordinated operation of an Autonomous Underwater Vehicle…

机器人学 · 计算机科学 2025-08-05 Markus Buchholz , Ignacio Carlucho , Michele Grimaldi , Yvan R. Petillot

In this paper, we present a motion-based robotic communication framework that enables non-verbal communication among autonomous underwater vehicles (AUVs) and human divers. We design a gestural language for AUV-to-AUV communication which…

机器人学 · 计算机科学 2022-07-13 Sadman Sakib Enan , Michael Fulton , Junaed Sattar

We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search and manipulation task. This system leverages heterogeneous…

机器人学 · 计算机科学 2022-09-26 Durgakant Pushp , Swapnil Kalhapure , Kaushik Das , Lantao Liu

This paper introduces CoralGuide, a novel framework designed for path planning and trajectory optimization for tethered multi-robot systems. We focus on marine robotics, which commonly have tethered configurations of an Autonomous Surface…

This paper presents a fault-tolerant control for the trajectory tracking of autonomous underwater vehicles (AUVs) against thruster failures. We formulate faults in AUV thrusters as discrete switching events during a UAV mission, and develop…

机器人学 · 计算机科学 2025-04-23 Haolin Liu , Shiliang Zhang , Shangbin Jiao , Xiaohui Zhang , Xuehui Ma , Yan Yan , Wenchuan Cui , Youmin Zhang