Relevant bibliographies by topics / Underwater intervention task

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Underwater intervention task'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Underwater intervention task"

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Simetti, E., G. Casalino, F. Wanderlingh, and M. Aicardi. "Task priority control of underwater intervention systems: Theory and applications." Ocean Engineering 164 (September 2018): 40–54. http://dx.doi.org/10.1016/j.oceaneng.2018.06.026.

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Topini, Edoardo, Marco Pagliai, and Benedetto Allotta. "Dynamic Maneuverability Analysis: A Preliminary Application on an Autonomous Underwater Reconfigurable Vehicle." Applied Sciences 11, no. 10 (2021): 4469. http://dx.doi.org/10.3390/app11104469.

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Since the development of the first autonomous underwater vehicles, the demanded tasks for subsea operations have become more and more challenging as, for instance, intervention, maintenance and repair of seabed installations, in addition to surveys. As a result, the development of autonomous underwater reconfigurable vehicles (AURVs) with the capability of interacting with the surrounding environment and autonomously changing the configuration, according to the task at hand, can represent a real breakthrough in underwater system technologies. Driven by these considerations, an innovative AURV
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Cho, Gun-Rae, Geonhui Ki, Mun-Jik Lee, Hyungjoo Kang, Min-Gyu Kim, and Ji-Hong Li. "Experimental Study on Tele-Manipulation Assistance Technique Using a Touch Screen for Underwater Cable Maintenance Tasks." Journal of Marine Science and Engineering 9, no. 5 (2021): 483. http://dx.doi.org/10.3390/jmse9050483.

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In underwater environments restricted from human access, many intervention tasks are performed by using robotic systems like underwater manipulators. Commonly, the robotic systems are tele-operated from operating ships; the operation is apt to be inefficient because of restricted underwater information and complex operation methods. In this paper, an assistance technique for tele-manipulation is investigated and evaluated experimentally. The key idea behind the assistance technique is to operate the manipulator by touching several points on the camera images. To implement the idea, the positio
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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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Carrera, A., S. R. Ahmadzadeh, A. Ajoudani, P. Kormushev, M. Carreras, and D. G. Caldwell. "Towards Autonomous Robotic Valve Turning." Cybernetics and Information Technologies 12, no. 3 (2012): 17–26. http://dx.doi.org/10.2478/cait-2012-0018.

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Abstract In this paper an autonomous intervention robotic task to learn the skill of grasping and turning a valve is described. To resolve this challenge a set of different techniques are proposed, each one realizing a specific task and sending information to the others in a Hardware-In-Loop (HIL) simulation. To improve the estimation of the valve position, an Extended Kalman Filter is designed. Also to learn the trajectory to follow with the robotic arm, Imitation Learning approach is used. In addition, to perform safely the task a fuzzy system is developed which generates appropriate decisio
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Kapetanović, Nadir, Antonio Vasilijević, Đula Nađ, Krunoslav Zubčić, and Nikola Mišković. "Marine Robots Mapping the Present and the Past: Unraveling the Secrets of the Deep." Remote Sensing 12, no. 23 (2020): 3902. http://dx.doi.org/10.3390/rs12233902.

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Underwater cultural heritage sites are subject to constant change, whether due to natural forces such as sediments, waves, currents or human intervention. Until a few decades ago, the documentation and research of these sites was mostly done manually by diving archaeologists. This paper presents the results of the integration of remote sensing technologies with autonomous marine vehicles in order to make the task of site documentation even faster, more accurate, more efficient and more precisely georeferenced. It includes the integration of multibeam sonar, side scan sonar and various cameras
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Wu, Li Hong, Wen Hai Xu, and Wenbo Wang. "Survey of Seafloor Targets with Varied Sizes by Multi Beam Sonar in Different Depth Water." Applied Mechanics and Materials 263-266 (December 2012): 909–14. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.909.

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Multi beam sonar needs complex data processing lying on human intervention to get accurate depth contour and low accuracy in sonar image which prevent its popular use in surveying seafloor targets. To survey seafloor target in different depth by GeoSwath, this article presents survey parameter setting method such as ping length, ship velocity to increase points over targets, navigation line parallel to heading of target during survey, adopting along track filter to depth data processing and using TVG control over amplitude data to get accurate depth grid and sonar image of seafloor target. Fin
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Martin-Abadal, Miguel, Manuel Piñar-Molina, Antoni Martorell-Torres, Gabriel Oliver-Codina, and Yolanda Gonzalez-Cid. "Underwater Pipe and Valve 3D Recognition Using Deep Learning Segmentation." Journal of Marine Science and Engineering 9, no. 1 (2020): 5. http://dx.doi.org/10.3390/jmse9010005.

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During the past few decades, the need to intervene in underwater scenarios has grown due to the increasing necessity to perform tasks like underwater infrastructure inspection and maintenance or archaeology and geology exploration. In the last few years, the usage of Autonomous Underwater Vehicles (AUVs) has eased the workload and risks of such interventions. To automate these tasks, the AUVs have to gather the information of their surroundings, interpret it and make decisions based on it. The two main perception modalities used at close range are laser and video. In this paper, we propose the
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Bonin-Font, Francisco, Gabriel Oliver, Stephan Wirth, Miquel Massot, Pep Lluis Negre, and Joan-Pau Beltran. "Visual sensing for autonomous underwater exploration and intervention tasks." Ocean Engineering 93 (January 2015): 25–44. http://dx.doi.org/10.1016/j.oceaneng.2014.11.005.

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Kumar, Dr A. Dinesh. "Underwater Gripper using Distributed Network and Adaptive Control." Journal of Electrical Engineering and Automation 2, no. 1 (2020): 43–49. http://dx.doi.org/10.36548/jeea.2020.1.005.

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Underwater identification and grasping of objects is a major challenge faced by the marine engineers even today. Nowadays, almost all underwater operations are either autonomous or tele-operated. In fact remotely operated vehicles (ROVs) are used to deal with inspection tasks and industrial maintenance whenever there is need for intervention. However, the field of autonomous underwater vehicle (AUV) is a blooming filed with research involving proper moving base control and forces interacting which leads to complicated configuration. Hence the presented work is focused implementation of end-eff
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Dissertations / Theses on the topic "Underwater intervention task"

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Carrera, Viñas Arnau. "Robot learning applied to autonomous underwater vehicles for intervention tasks." Doctoral thesis, Universitat de Girona, 2017. http://hdl.handle.net/10803/450868.

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The interest in performing underwater tasks using Autonomous Underwater Vehicles (AUVs) has been growing over the past few years. In this thesis, a flexible framework for underwater interventions using a Learning by Demonstration algorithm as a core has been developed. This algorithm allows to the robot's user to transfer a skill or knowledge to the I-AUV using a natural and intuitive form. The developed framework for interventions has been tailored to the GIRONA 500 AUV in order to enable it to perform an underwater valve turning task under different conditions. The GIRONA 500 has bee
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Book chapters on the topic "Underwater intervention task"

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Partridge, D. J. "Progress of Automation in Remote Intervention Tasks." In Advances in Underwater Technology, Ocean Science and Offshore Engineering. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1299-1_28.

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Conti, Roberto, Riccardo Costanzi, Francesco Fanelli, Enrico Meli, Alessandro Ridolfi, and Benedetto Allotta. "Intervention-Autonomous Underwater Vehicle Multibody Models for Dynamic Manipulation Tasks." In Computational Methods in Applied Sciences. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30614-8_9.

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Mueller, Christian A., Arturo Gomez Chavez, Tobias Doernbach, Daniel Köhntopp, and Andreas Birk. "Continuous system integration and validation for underwater perception in offshore inspection and intervention tasks." In Fundamental Design and Automation Technologies in Offshore Robotics. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-820271-5.00007-9.

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Conference papers on the topic "Underwater intervention task"

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Haule, D. D., S. M. Noorhosseini, and A. S. Malowany. "Design of a Teleprogrammable Space Robotic Workcell for Unstructured Environments." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0130.

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Abstract Many studies for the preliminary definition of a space teleoperated robotic devices are recently completed or under development. One example of such devices is the Flight Telerobotic Servicer (FTS) developed by NASA. These studies will assist astronauts in many ot the on- and off-board tasks of assembly, maintenance, servicing and inspection of the Space Station. This paper makes an assessment of the role that teleprogramming may have in furthering the automation capabilities of these devices by extending their capacity for growth and evolution. Relevant system engineering design issu
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Liu, Jianhua, Jiaxi Zheng, Peng Xu, et al. "Development of AUV Mechatronics Integration for Underwater Intervention Tasks." In 2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE). IEEE, 2021. http://dx.doi.org/10.1109/cacre52464.2021.9501358.

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Aldana Afanador, Andrés Felipe, Helio Sneyder Esteban Villegas, and Sebastián Roa Prada. "Model-Based Optimal Control of a Small Remotely Operated Vehicle." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71170.

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Remotely Operated Vehicles, ROVs, are useful devices that can greatly assist humans in the development deep-sea exploration and underwater tasks. These unmanned vehicles require human intervention for the realization of its underwater jobs and have the ability to carry multiple instruments, sensors and actuators according to the application. There are numerous commercial ROV platforms, ranging from inexpensive to very advanced and costly systems. Being an underactuated system, one of the most important factors in the development of a ROV is the design of its control system. Depending on the qu
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