Bibliografías temáticas / Autonomous Underwater Vehicles, Underwater robotics, Mobile robots navigation / Artículos de revistas
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Artículos de revistas 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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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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3

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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11

Kalwa, Joerg, Daniel Tietjen, Marina Carreiro-Silva, et al. "The European Project MORPH: Distributed UUV Systems for Multimodal, 3D Underwater Surveys." Marine Technology Society Journal 50, no. 4 (2016): 26–41. http://dx.doi.org/10.4031/mtsj.50.4.10.

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AbstractThe MORPH project (FP 7, 2012‐2016) is aimed at developing efficient methods and tools to map the underwater environment in situations that are not easily addressed by current technology. Namely, the missions that are of interest are those that involve underwater surveying and marine habitat mapping of rugged terrain and structures with full 3D complexity, including vertical cliffs. Potential applications include the study of cold water coral reef communities, ecosystems from underwater canyons, pipeline and harbor monitoring, or the inspection of wind turbine foundations. The project
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12

Elmokadem, Taha, and Andrey V. Savkin. "Computationally-Efficient Distributed Algorithms of Navigation of Teams of Autonomous UAVs for 3D Coverage and Flocking." Drones 5, no. 4 (2021): 124. http://dx.doi.org/10.3390/drones5040124.

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This paper proposes novel distributed control methods to address coverage and flocking problems in three-dimensional (3D) environments using multiple unmanned aerial vehicles (UAVs). Two classes of coverage problems are considered in this work, namely barrier and sweep problems. Additionally, the approach is also applied to general 3D flocking problems for advanced swarm behavior. The proposed control strategies adopt a region-based control approach based on Voronoi partitions to ensure collision-free self-deployment and coordinated movement of all vehicles within a 3D region. It provides robu
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13

Измайлов, Р. А. "Внедрение роботизированных технологий для повышения эффективности и безопасности работ на подземных и подводных объектах нефтегазовой отрасли". Environmental management issues 4, № 1 (2025): 20–30. https://doi.org/10.25726/r3284-2295-9538-r.

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Современная нефтегазовая отрасль сталкивается с множеством вызовов, связанных с работами на подземных и подводных объектах. Эти работы сопряжены с высокими рисками для человека, значительными финансовыми издержками и строгими требованиями к безопасности. В последние годы роботизация становится перспективным направлением для решения данных проблем. Исследование направлено на изучение потенциала внедрения роботизированных технологий с целью повышения эффективности и безопасности работ в сложных условиях подземных и подводных объектов. В ходе исследования проведен анализ существующих роботизирова
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14

Pransky, Joanne. "The Pransky interview: Dr William “Red” Whittaker, Robotics Pioneer, Professor, Entrepreneur." Industrial Robot: An International Journal 43, no. 4 (2016): 349–53. http://dx.doi.org/10.1108/ir-04-2016-0124.

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Purpose The following paper details a “Q&A interview” conducted by Joanne Pransky, Associate Editor of Industrial Robot Journal, to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful business leader, regarding the commercialization and challenges of bringing technological inventions to the market while overseeing a company. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr William “Red” Whittaker, Fredkin Research Professor of Robotics, Robotics Institute, Carnegie Mellon Un
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15

Sayed, Mohammed, Markus Nemitz, Simona Aracri, Alistair McConnell, Ross McKenzie, and Adam Stokes. "The Limpet: A ROS-Enabled Multi-Sensing Platform for the ORCA Hub." Sensors 18, no. 10 (2018): 3487. http://dx.doi.org/10.3390/s18103487.

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The oil and gas industry faces increasing pressure to remove people from dangerous offshore environments. Robots present a cost-effective and safe method for inspection, repair, and maintenance of topside and marine offshore infrastructure. In this work, we introduce a new multi-sensing platform, the Limpet, which is designed to be low-cost and highly manufacturable, and thus can be deployed in huge collectives for monitoring offshore platforms. The Limpet can be considered an instrument, where in abstract terms, an instrument is a device that transforms a physical variable of interest (measur
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16

Becker, K. F., M. Voitel, D. Schütze, et al. "Development of robust sensor packages for autonomous underwater vehicles." IMAPSource Proceedings 2022, Issue 1 (2023). http://dx.doi.org/10.4071/001c.74532.

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New generations of robots are designed to support humans with a variety of partially or fully automated services. Such flexible and mobile service robots cooperate with humans or even act completely independent. To achieve this, it is necessary to significantly improve their capabilities in terms of environment perception, data processing and movement. At the same time, they must meet the highest standards of reliability and safety. Innovative electronics enable the necessary improvements and thus appropriate robot behavior. The aim of the Bionic RoboSkin project is to enhance the possibilitie
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17

Indushekhar, Prasad Singh and Ashish Patel. "VISUAL ODOMETRY FOR AUTONOMOUS VEHICLES." September 25, 2019. https://doi.org/10.5281/zenodo.3484607.

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  With rapid advancements in the area of mobile robotics and industrial automation, a growing need has arisen towards accurate navigation and localization of moving objects. Camera based motion estimation is one such technique which is gaining huge popularity owing to its simplicity and use of limited resources in generating motion path. In this paper, an attempt is made to introduce this topic for covering different aspects of vision based motion estimation task.Visual odometry (VO) is the process of estimating the egomotion of an agent (e.g., vehicle, human, and robot) using only the in
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18

Nauert, Franka, and Peter Kampmann. "Inspection and maintenance of industrial infrastructure with autonomous underwater robots." Frontiers in Robotics and AI 10 (August 25, 2023). http://dx.doi.org/10.3389/frobt.2023.1240276.

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Underwater infrastructure, such as pipelines, requires regular inspection and maintenance including cleaning, welding of defects and valve-turning or hot-stabbing. At the moment, these tasks are mostly performed by divers and Remotely Operated Vehicles (ROVs) but the use of intervention Autonomous Underwater Vehicles (intervention-AUVs) can greatly reduce operation time, risk, and cost. However, autonomous underwater manipulation has not yet reached a high technological readiness and is an intensively researched topic. This review identifies key requirements based on necessary inspection and m
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19

Picardi, Giacomo, Anna Astolfi, Damianos Chatzievangelou, Jacopo Aguzzi, and Marcello Calisti. "Underwater legged robotics: review and perspectives." Bioinspiration & Biomimetics, March 2, 2023. http://dx.doi.org/10.1088/1748-3190/acc0bb.

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Abstract Nowadays, there is a growing awareness on the social and economic importance of the ocean. In this context, being able to carry out a diverse range of operations underwater is of paramount importance for many industrial sectors as well as for marine science and to enforce restoration and mitigation actions. Underwater robots allowed us to venture deeper and for longer time into the remote and hostile marine environment. However, traditional design concepts such as propeller driven Remotely Operated Vehicles (ROVs), Autonomous Underwater Vehicles (AUVs), or tracked benthic crawlers, pr
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20

Rigatos, Gerasimos G., Masoud Abbaszadeh, Bilal Sari, and Jorge Pomares. "Nonlinear optimal control for UAVs with tilting rotors." International Journal of Intelligent Unmanned Systems, July 25, 2023. http://dx.doi.org/10.1108/ijius-02-2023-0018.

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PurposeA distinctive feature of tilt-rotor UAVs is that they can be fully actuated, whereas in fixed-angle rotor UAVs (e.g. common-type quadrotors, octorotors, etc.), the associated dynamic model is characterized by underactuation. Because of the existence of more control inputs, in tilt-rotor UAVs, there is more flexibility in the solution of the associated nonlinear control problem. On the other side, the dynamic model of the tilt-rotor UAVs remains nonlinear and multivariable and this imposes difficulty in the drone's controller design. This paper aims to achieve simultaneously precise trac
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