Bibliografías temáticas / Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation

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Literatura académica sobre el tema "Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation"

Autor: Grafiati
Publicado: 10 de marzo de 2023
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation"

1

Bogue, Robert. "Sensors for robotic perception. Part two: positional and environmental awareness." Industrial Robot: An International Journal 42, no. 6 (2015): 502–7. http://dx.doi.org/10.1108/ir-07-2015-0133.

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Purpose – The purpose of this article is to illustrate how sensors impart perceptive capabilities to robots. This is the second part of a two-part article. This second part considers positional awareness and sensing in the external environment, notably but not exclusively by autonomous, mobile robots. Design/methodology/approach – Following a short introduction, this article first discusses positional sensing and navigation by mobile robots, including self-driving cars, automated guided vehicles, unmanned aerial vehicles (UAVs) and autonomous underwater vehicles (AUVs). It then considers sensi
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2

Furferi, Rocco, Roberto Conti, Enrico Meli, and Alessandro Ridolfi. "Optimization of potential field method parameters through networks for swarm cooperative manipulation tasks." International Journal of Advanced Robotic Systems 13, no. 6 (2016): 172988141665793. http://dx.doi.org/10.1177/1729881416657931.

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An interesting current research field related to autonomous robots is mobile manipulation performed by cooperating robots (in terrestrial, aerial and underwater environments). Focusing on the underwater scenario, cooperative manipulation of Intervention-Autonomous Underwater Vehicles (I-AUVs) is a complex and difficult application compared with the terrestrial or aerial ones because of many technical issues, such as underwater localization and limited communication. A decentralized approach for cooperative mobile manipulation of I-AUVs based on Artificial Neural Networks (ANNs) is proposed in
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D’Angelo, Vincenzo, Paolo Folino, Marco Lupia, et al. "A ROS-Based GNC Architecture for Autonomous Surface Vehicle Based on a New Multimission Management Paradigm." Drones 6, no. 12 (2022): 382. http://dx.doi.org/10.3390/drones6120382.

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This paper presents the design and implementation of BAICal (Intelligent Autonomous Buoy by the University of Calabria), an autonomous surface vehicle (ASV) developed at the Autonomous Systems Lab (LASA) of the Department of Computer Science, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria. The basic project was born as a research program in marine robotics with multiple applications, either in the sea or in lake/river environments, for data monitoring, search and rescue operations and diver support tasks. Mechanical and hardware designs are discussed by consider
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4

Maimon, Aurel Dan. "Underwater robotics – technical aspects on autonomous underwater inspection vehicle." Analele Universităţii "Dunărea de Jos" din Galaţi. Fascicula XI, Construcţii navale/ Annals of "Dunărea de Jos" of Galati, Fascicle XI, Shipbuilding 43 (December 15, 2020): 79–88. http://dx.doi.org/10.35219/annugalshipbuilding.2020.43.10.

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"This article is devoted to a state of the art on mobile multi-robot systems in the underwater domain. It start with the history of underwater robots as well as their applications in various fields, then focus on underwater vehicles different categories charactheristics and properties, their appearance and their applications. Subsequently, the design of an autonomous underwater inspection vehicle is presented together with its functions, movements and control system."
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5

El-Sheimy, N., A. A. Abdelbary, N. El-Bendary, and Y. Mohasseb. "Preface: ISPRS Geospatial Week 2023." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 14, 2023): 1979–80. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1979-2023.

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Abstract. The International Society for Photogrammetry and Remote Sensing (ISPRS) Geospatial Week 2023 (GSW’2023) is a combination of 29 workshops organized by the ISPRS Working Groups active in areas of interest of ISPRS. The Geospatial Week 2023 is held from 2–7 September 2023, at the Semiramis Cairo Hotel, on the magnificent river Nile, Egypt, and is convened by the Arab Academy for Science, Technology & Maritime Transport (AASTMT) acting as the local organizer. The GSW’2023 is the first in Africa and the Middle East. The conference was chaired by Prof. Naser EL-Sheimy and Prof. Ism
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6

El-Sheimy, N., A. A. Abdelbary, N. El-Bendary, and Y. Mohasseb. "Preface: ISPRS Geospatial Week 2023." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (December 13, 2023): 1151–52. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-1151-2023.

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Abstract. The International Society for Photogrammetry and Remote Sensing (ISPRS) Geospatial Week 2023 (GSW’2023) is a combination of 29 workshops organized by the ISPRS Working Groups active in areas of interest of ISPRS. The Geospatial Week 2023 is held from 2–7 September 2023, at the Semiramis Cairo Hotel, on the magnificent river Nile, Egypt, and is convened by the Arab Academy for Science, Technology & Maritime Transport (AASTMT) acting as the local organizer. The GSW’2023 is the first in Africa and the Middle East. The conference was chaired by Prof. Naser EL-Sheimy and Prof. Ism
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7

Priyanka, Das. "Robust Localization Techniques for Autonomous Systems in GPS-Denied Environments." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 2 (2020): 1–3. https://doi.org/10.5281/zenodo.14259573.

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Navigation is an essential part of our everyday life. One of the most used and reliable techniques used for localization is GPS. Few examples where GPA plays a major role are in navigation of autonomous vehicles such as drones, underwater vehicles, and mobile robots. As GPS works correctly in most scenarios there are situations where GPS data can’t be reliable,for example cities with high rise building, underwater exploration, indoors,etc. In this paper we will discuss different robust localization techniques designed for autonomous systems where GPS data is unavailable.
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8

Bogue, Robert. "Robots in the offshore oil and gas industries: a review of recent developments." Industrial Robot: the international journal of robotics research and application 47, no. 1 (2019): 1–6. http://dx.doi.org/10.1108/ir-10-2019-0207.

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Purpose This paper aims to provide details of recent developments in robots aimed at applications in the offshore oil and gas industries. Design/methodology/approach Following a short introduction, this first discusses developments to remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs). It then describes the Total-sponsored Autonomous Robot for Gas and Oil Sites (ARGOS) robot challenge. This is followed by a discussion of the Offshore Robotics for Certification of Assets (ORCA) programme. Finally, brief concluding comments are drawn. Findings Subsea residency and other
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9

Liu, Qisong. "Deep Reinforcement Learning for Motion Control Algorithms in Robotics." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 390–96. http://dx.doi.org/10.62051/e1yhny28.

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This article introduces the concept and practical applications of deep reinforcement learning (DRL), describes the core principles and main algorithms of DRL, and summarizes the advantages of DRL and its differences from traditional reinforcement learning (RL). At the same time, it introduces the broad application prospects of DRL in various fields and lists some examples about the mechanical field. This includes applications for classifying colored objects, agricultural applications for robotic arms to cut fruits, branches, or twigs, a DQN based learning system, a mobile robot that can perfor
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10

Debeunne, César, and Damien Vivet. "A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping." Sensors 20, no. 7 (2020): 2068. http://dx.doi.org/10.3390/s20072068.

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Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution. SLAM is used for many applications including mobile robotics, self-driving cars, unmanned aerial vehicles, or autonomous underwater vehicles. In these domains, both visual and visual-IMU SLAM are well studied, and improvements are regularly proposed in the literature. However, LiDAR-SLAM techniques seem to be relatively the same as ten or twenty years ago. Moreover, few research works focus on vision-LiDAR appr
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Tesis sobre el tema "Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation"

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Carreras, Pérez Marc. "A proposal of a behavior-based control architecture with reinforcement learning for an autonomous underwater robot." Doctoral thesis, Universitat de Girona, 2003. http://hdl.handle.net/10803/7718.

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Aquesta tesi proposa l'ús d'un seguit de tècniques pel control a alt nivell d'un robot autònom i també per l'aprenentatge automàtic de comportaments. L'objectiu principal de la tesis fou el de dotar d'intel·ligència als robots autònoms que han d'acomplir unes missions determinades en entorns desconeguts i no estructurats. Una de les premisses tingudes en compte en tots els passos d'aquesta tesis va ser la selecció d'aquelles tècniques que poguessin ésser aplicades en temps real, i demostrar-ne el seu funcionament amb experiments reals. El camp d'aplicació de tots els experiments es la robòtica
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2

Fanelli, Francesco. "Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles." Doctoral thesis, 2018. http://hdl.handle.net/2158/1125920.

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As of today, autonomous underwater navigation can still be considered a challenging task; the determination of self-localization techniques for autonomous underwater vehicles is an open research topic, and many efforts are undertaken by researchers and companies to improve existing algorithms or to develop new solutions to increase the level of accuracy achievable with current vehicle technologies. In this framework, the research activity carried out during the Ph.D. period concentrated on the study of pose estimation algorithms for mobile robots, with special focus given to the underwater fie
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RIDOLFI, ALESSANDRO. "Modelling, control and testing of underwater mobile robots." Doctoral thesis, 2014. http://hdl.handle.net/2158/854497.

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Capítulos de libros sobre el tema "Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation"

1

Lammas, Andrew, Karl Sammut, and Fangpo He. "6-DoF Navigation Systems for Autonomous Underwater Vehicles." In Mobile Robots Navigation. InTech, 2010. http://dx.doi.org/10.5772/8978.

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Batista, Ítalo Jáder Loiola, Antonio Themoteo Varela, Edicarla Pereira Andrade, et al. "A Mechatronic Description of an Autonomous Underwater Vehicle for Dam Inspection." In Mobile Ad Hoc Robots and Wireless Robotic Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2658-4.ch010.

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Driven by the rising demand for underwater operations concerning dam structure monitoring, Hydropower Plant (HPP), reservoir, and lake ecosystem inspection, and mining and oil exploration, underwater robotics applications are increasing rapidly. The increase in exploration, prospecting, monitoring, and security in lakes, rivers, and the sea in commercial applications has led large companies and research centers to invest underwater vehicle development. The purpose of this work is to present the design of an Autonomous Underwater Vehicle (AUV), focusing efforts on dimensioning structural elemen
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3

K., Tarun, and Nilanjan Sarkar. "Unified Dynamics-based Motion Planning Algorithm for Autonomous Underwater Vehicle-Manipulator Systems (UVMS)." In Mobile Robots: Perception & Navigation. Pro Literatur Verlag, Germany / ARS, Austria, 2007. http://dx.doi.org/10.5772/4779.

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4

Anwar Ali, Zain, Amber Israr, and Raza Hasan. "Survey of Methods Applied in Cooperative Motion Planning of Multiple Robots." In Motion Planning for Dynamic Agents [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1002428.

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Recent advances in robotics, autonomous systems, and artificial intelligence (AI) enable robots to perform complex tasks such as delivery, surveillance, inspection, rescue, and others. However, they are unable to complete certain tasks independently due to specific restrictions. In the last few years, researchers are keenly interested in deploying multi-robots for such tasks due to their scalability, robustness, and efficiency. Multiple robots; mobile robots, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and unmanned underwater vehicles (UUVs); are gaining much momentum and
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Actas de conferencias sobre el tema "Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation"

1

Zharkov, Anatoliy, and Roman Maslii. "APPLICATION OF VISUAL INERTIAL SLAM ALGORITHM FOR AUTONOMOUS ROBOT NAVIGATION." In 17th IC Measurement and Control in Complex Systems. VNTU, 2024. https://doi.org/10.31649/mccs2024.2-13.

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This work investigates the application of the Visual-Inertial SLAM (Simultaneous Localization and Mapping) algorithm for the navigation of an autonomous robot. With the development of autonomous navigation technologies, there is a need for effective methods that allow robots to navigate in complex environments. Visual-Inertial SLAM combines data from cameras and inertial measurement devices, which ensures high accuracy of localization and map construction. Several SLAM approaches based on particle filter, extended Kalman filter, and neural networks have been investigated over the decades. Thes
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