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Relevant bibliographies by topics / Autonomous Transformable Marine Robot

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Academic literature on the topic 'Autonomous Transformable Marine Robot'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Autonomous Transformable Marine Robot"

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Woolley, Robert, Jon Timmis, and Andy M. Tyrrell. "Cylindabot: Transformable Wheg Robot Traversing Stepped and Sloped Environments." Robotics 10, no. 3 (2021): 104. http://dx.doi.org/10.3390/robotics10030104.

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The ability of an autonomous robot to adapt to different terrain affords the flexibility to move successfully in a range of environments. This paper proposes the Cylindabot, a transformable Wheg robot that can move with two large wheels, each of which can rotate out, producing three legs. This ability to change its mode of locomotion allows for specialised performance. The Cylindabot has been tested in simulation and on a physical robot on steps and slopes as an indication of its efficacy in different environments. These experiments show that such robots are capable of climbing up to a 32 degr

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Kim, Hyun-Sik, Hyung-Joo Kang, Youn-Jae Ham, and Seung-Soo Park. "Development of Underwater-type Autonomous Marine Robot-kit." Journal of Korean Institute of Intelligent Systems 22, no. 3 (2012): 312–18. http://dx.doi.org/10.5391/jkiis.2012.22.3.312.

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Jeong, Jinseok, Youngmin Sa, and Hyun-Sik Kim. "Development of Autonomous Surface Robot for Marine Fire Safety." Journal of Ocean Engineering and Technology 32, no. 2 (2018): 138–42. http://dx.doi.org/10.26748/ksoe.2018.4.32.2.138.

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Gurenko, Boris, Roman Fedorenko, Maksim Beresnev, and Roman Saprykin. "Development of Simulator for Intelligent Autonomous Underwater Vehicle." Applied Mechanics and Materials 799-800 (October 2015): 1001–5. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.1001.

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Testing and debugging of real equipment is a time consuming task. In particular, in the case of marine robots, it is necessary each time to carry out the transportation and deployment of a robot on the water. Experiments with not yet fully functional prototype of marine robot equipped with expensive hardware is in the meantime very risky. Therefore, the use of simulators is affordable way to accelerate the development of robotic systems from the viewpoint of labor effort and cost of experiments. This paper presents a simulator specifically designed for autonomous unmanned underwater vehicles.

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Anto, Adhy Febry, and Totok Sukardiyono. "Prototype Autonomous Rover Pembersih Sampah Pantai menggunakan ArduPilot." Elinvo (Electronics, Informatics, and Vocational Education) 4, no. 2 (2019): 202–9. http://dx.doi.org/10.21831/elinvo.v4i2.28793.

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Indonesia has the second longest coastline in the world. On the other hand, Indonesia is the second largest contributor to marine waste in the world. Coastal cleanliness needs to be maintained so that it becomes an attraction for tourism and to protect the marine ecosystem. This article describes the results of testing devices that can be used to clean beaches. Research carried out by the development method. An autonomous beach garbage cleaning rover is a beach trash sweeper robot equipped with GPS, compass, telemetry, ArduPilot as a navigation and communication system when the robot operates.

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Bonin-Font, Francisco, and Antoni Burguera. "Towards Multi-Robot Visual Graph-SLAM for Autonomous Marine Vehicles." Journal of Marine Science and Engineering 8, no. 6 (2020): 437. http://dx.doi.org/10.3390/jmse8060437.

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State of the art approaches to Multi-robot localization and mapping still present multiple issues to be improved, offering a wide range of possibilities for researchers and technology. This paper presents a new algorithm for visual Multi-robot simultaneous localization and mapping, used to join, in a common reference system, several trajectories of different robots that participate simultaneously in a common mission. One of the main problems in centralized configurations, where the leader can receive multiple data from the rest of robots, is the limited communications bandwidth that delays the

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Molina-Molina, J. Carlos, Marouane Salhaoui, Antonio Guerrero-González, and Mounir Arioua. "Autonomous Marine Robot Based on AI Recognition for Permanent Surveillance in Marine Protected Areas." Sensors 21, no. 8 (2021): 2664. http://dx.doi.org/10.3390/s21082664.

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The world’s oceans are one of the most valuable sources of biodiversity and resources on the planet, although there are areas where the marine ecosystem is threatened by human activities. Marine protected areas (MPAs) are distinctive spaces protected by law due to their unique characteristics, such as being the habitat of endangered marine species. Even with this protection, there are still illegal activities such as poaching or anchoring that threaten the survival of different marine species. In this context, we propose an autonomous surface vehicle (ASV) model system for the surveillance of

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Mellinger, David K., Holger Klinck, Neil M. Bogue, Jim Luby, Haru Matsumoto, and Roland Stelzer. "Gliders, floats, and robot sailboats: autonomous platforms for marine mammal research." Journal of the Acoustical Society of America 131, no. 4 (2012): 3493. http://dx.doi.org/10.1121/1.4709197.

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Pan, Lisheng. "Exploration and Mining Learning Robot of Autonomous Marine Resources Based on Adaptive Neural Network Controller." Polish Maritime Research 25, s3 (2018): 78–83. http://dx.doi.org/10.2478/pomr-2018-0115.

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Abstract To study the autonomous learning model of the learning robot for marine resource exploration, an adaptive neural network controller was applied. The motion characteristics of autonomous learning robots were identified. The mathematical model of the multilayer forward neural network and its improved learning algorithm were studied. The improved Elman regression neural network and the composite input dynamic regression neural network were further discussed. At the same time, the diagonal neural network was analysed from the structure and learning algorithms. The results showed that for

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Ahmed, Mohammed, Markus Eich, and Felix Bernhard. "Design and Control of MIRA: A Lightweight Climbing Robot for Ship Inspection." International Letters of Chemistry, Physics and Astronomy 55 (July 2015): 128–35. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.55.128.

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The inspection of marine vessels is currently per-formed manually. Inspectors use tools (e.g. cameras and devices for non-destructive testing) to detect damaged areas, cracks, and corrosion in large cargo holds, tanks, and other parts of a ship. Due to the size and complex geometry of most ships, ship inspection is time-consuming and expensive. The EU-funded project INCASS develops concepts for a marine inspection robotic assistant system to improve and automate ship inspections. In this paper, we introduce our magnetic wall–climbing robot: Marine Inspection Robotic Assistant (MIRA). This semi

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Dissertations / Theses on the topic "Autonomous Transformable Marine Robot"

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Bazeille, Stéphane. "Vision sous-marine monoculaire pour la reconnaissance d'objets." Brest, 2008. http://www.theses.fr/2008BRES2023.

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Dans le contexte sous-marin, et à l’inverse du capteur sonar qui reste le plus employé à grande distance pour la détection et la classification, la caméra vidéo est efficace à faible portée lors des phases d’approche, de reconnaissance d’objets et d’intervention. Elle dispose en effet d’atouts notables comme une haute résolution, une facilité d’interprétation on encore un faible coût. Aujourd’hui presque tous les véhicules sous-marins scientifiques, industriels ou militaires en sont équipés. Ils sont actuellement plutôt télé-opérés par un opérateur et on y trouve associés des traitements autom

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Pagliai, Marco. "Design and testing of innovative thrusters and their integration in the design of a reconfigurable underwater vehicle." Doctoral thesis, 2019. http://hdl.handle.net/2158/1154277.

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Nowadays, Unmanned Underwater Vehicles (UUVs) are increasingly used in underwater operations (e.g. exploration, monitoring, maintenance), because they make safe working under the water. Since their use is growing, it is extremely important to ensure better maneuverability and lower power consumption to improve the performances of this kind of vehicles. The work carried out in the last three years at the Mechatronics and Dynamic Modelling Laboratory (MDM Lab) of the Department of Industrial Engineering of University of Florence (UNIFI DIEF), focused exactly on these problematics. More in detail

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"Coordinated Navigation and Localization of an Autonomous Underwater Vehicle Using an Autonomous Surface Vehicle in the OpenUAV Simulation Framework." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.62789.

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abstract: The need for incorporating game engines into robotics tools becomes increasingly crucial as their graphics continue to become more photorealistic. This thesis presents a simulation framework, referred to as OpenUAV, that addresses cloud simulation and photorealism challenges in academic and research goals. In this work, OpenUAV is used to create a simulation of an autonomous underwater vehicle (AUV) closely following a moving autonomous surface vehicle (ASV) in an underwater coral reef environment. It incorporates the Unity3D game engine and the robotics software Gazebo to take advan

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Lu, Yimeng. "A Game-theoretical Approach for Distributed Cooperative Control of Autonomous Underwater Vehicles." Thesis, 2018. http://hdl.handle.net/10754/627955.

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This thesis explores a game-theoretical approach for underwater environmental monitoring applications. We first apply game-theoretical algorithm to multi-agent resource coverage problem in drifting environments. Furthermore, existing utility design and learning process of the algorithm are modified to fit specific constraints of underwater exploration/monitoring tasks. The revised approach can take the real scenario of underwater monitoring applications such as the effect of sea current, previous knowledge of the resource and occasional communications between agents into account, and adapt t

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Books on the topic "Autonomous Transformable Marine Robot"

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Marine Robot Autonomy. Springer, 2012.

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Book chapters on the topic "Autonomous Transformable Marine Robot"

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Paull, Liam, Sajad Saeedi, and Howard Li. "Path Planning for Autonomous Underwater Vehicles." In Marine Robot Autonomy. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5659-9_4.

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Lane, David, Keith Brown, Yvan Petillot, Emilio Miguelanez, and Pedro Patron. "An Ontology-Based Approach to Fault Tolerant Mission Execution for Autonomous Platforms." In Marine Robot Autonomy. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5659-9_5.

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Novitzky, Michael, Hugh R. R. Dougherty, and Michael R. Benjamin. "A Human-Robot Speech Interface for an Autonomous Marine Teammate." In Social Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_50.

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Valada, A., P. Velagapudi, B. Kannan, C. Tomaszewski, G. Kantor, and P. Scerri. "Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40686-7_43.

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Schmitt, Silke, Fabrice Le Bars, Luc Jaulin, and Thomas Latzel. "Obstacle Avoidance for an Autonomous Marine Robot—A Vector Field Approach." In Quantitative Monitoring of the Underwater Environment. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32107-3_11.

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Choyekh, Mahdi, Naomi Kato, Yasuaki Yamaguchi, et al. "Development and Operation of Underwater Robot for Autonomous Tracking and Monitoring of Subsea Plumes After Oil Spill and Gas Leak from Seabed and Analyses of Measured Data." In Applications to Marine Disaster Prevention. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55991-7_3.

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Kapetanović, Nadir, Antonio Vasilijević, and Krunoslav Zubčić. "Assessing the Current State of a Shipwreck Using an Autonomous Marine Robot: Szent Istvan Case Study." In Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53829-3_12.

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Conference papers on the topic "Autonomous Transformable Marine Robot"

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Maurelli, Francesco, Zeyn Saigol, Carlos C. Insaurralde, Yvan R. Petillot, and David M. Lane. "Marine world representation and acoustic communication: Challenges for multi-robot collaboration." In 2012 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2012. http://dx.doi.org/10.1109/auv.2012.6380755.

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Han, Changlin, Yiyao Xu, Xiaohong Xu, Zhiwen Zeng, Huimin Lu, and Zongtan Zhou. "Remote Control and Autonomous Driving: The System-wide Design of a Wheel-track Transformable Robot –– Kylin Blaster." In 2018 Chinese Automation Congress (CAC). IEEE, 2018. http://dx.doi.org/10.1109/cac.2018.8623389.

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Kiselev, L. V., A. V. Medvedev, V. B. Kostousov, and A. E. Tarkhanov. "Autonomous underwater robot as an ideal platform for marine gravity surveys." In 2017 24th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS). IEEE, 2017. http://dx.doi.org/10.23919/icins.2017.7995685.

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Soares, Ines, Sara Sa, Joao Morais, and Joao Fortuna. "Obstacle Avoiding Path Planning Pipeline for Marine Surface Vessels." In 2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2022. http://dx.doi.org/10.1109/icarsc55462.2022.9784810.

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"Exploring the Blue Frontier with Cooperative Marine Robots: Theory and Practice." In 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2020. http://dx.doi.org/10.1109/icarsc49921.2020.9096122.

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Ueland, Einar S., Roger Skjetne, and Andreas R. Dahl. "Marine Autonomous Exploration Using a Lidar and SLAM." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61880.

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This paper presents the implementation of a 2D-lidar to a model-scale surface vessel, and the design of a control system that makes the vessel able to perform autonomous exploration of a small-scale marine environment by the use of the lidar and SLAM. This includes a presentation and discussion of experimental results. The completion of this system has involved the development of a suitable control system that merges exploration strategies, path planners, a motion controller, and a strategy for generating controller setpoints. The system was implemented on the Robot Operating System platform,

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Manderson, Travis, and Gregory Dudek. "GPU-Assisted Learning on an Autonomous Marine Robot for Vision-Based Navigation and Image Understanding." In OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018. http://dx.doi.org/10.1109/oceans.2018.8604645.

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Bennett, Andrew, Victoria Preston, Jay Woo, et al. "Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists." In 2015 IEEE International Conference on Technologies for Practical robot Applications (TePRA). IEEE, 2015. http://dx.doi.org/10.1109/tepra.2015.7219660.

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Zhang, Peihao, Jiawang Chen, Zhenwei Tian, et al. "A New Type of Robot Used for Deep Stratum Drilling in Seabed." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18401.

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Abstract With the increasing scale of the exploitation of ocean oil and gas resources, the decomposition of natural gas hydrate and the exploitation of submarine oil will damage the engineering mechanical structure of submarine sediments, leading to submarine collapse, landslide, even earthquake and other geological disasters, seriously threatening the exploration and exploitation of Marine resources. Therefore, it is necessary to develop a deep-seabed drilling robot to carry out real-time long-term monitoring of changes in the seabed environment by carrying sensors and detection devices. This

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Reports on the topic "Autonomous Transformable Marine Robot"

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Barbie, Alexander. ARCHES Digital Twin Framework. GEOMAR, 2022. http://dx.doi.org/10.3289/sw_arches_core_1.0.0.

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In the Helmholtz Future Project ARCHES (Autonomous Robotic Networks to Help Modern Societies) with a consortium of partners from AWI (Alfred- Wegener-Institute Helmholtz Centre for Polar and Marine Research), DLR (German Aerospace Center), KIT (Karlsruhe Institute of Technology), and the GEOMAR (Helmholtz Centre for Ocean Research Kiel), several Digital Twins of ocean observation systems were developed by the GEOMAR and AWI. The ARCHES Digital Twin Framework is one of the results of this project. The software is based on the Robot Operating System (ROS) and is written in Python.

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