@conference {281, title = {Autonomous underwater grasping using multi-view laser reconstruction}, booktitle = {OCEANS 2017 - Aberdeen}, year = {2017}, month = {10/2017}, publisher = {IEEE}, organization = {IEEE}, address = {Aberdeen (UK)}, abstract = {

Autonomous manipulation in underwater scenarios is a highly complex task which is still poorly studied, but with a growing interest in the last years. Two of the main phases of this problem are the detection and characterization of the object which is going to be manipulated, and the planning of this manipulation. This paper presents, on the one hand, the results of a multi-view laser reconstruction approach used in a real system. This approach consists in attaching a laser emitter and a camera in the forearm of a robotic arm. Then, moving the arm, the scene is scanned and reconstructed. This configuration allows the user to reconstruct autonomously a scene from different points of view and with a high precision. On the other hand, a grasp planning algorithm has been described. This method makes possible to autonomously detect the object of interest from a scene with multiple objects, and to choose which is the best arm configuration in order to manipulate it.

}, keywords = {arm configuration, Autonomous Manipulation, autonomous underwater grasping, autonomous underwater vehicles, camera, Cameras, grasp planning algorithm, Grasping, image reconstruction, laser emitter, Lasers, manipulators, multiview laser reconstruction approach, object characterization, object detection, Planning, robot vision, Robot vision systems, robotic arm, scene reconstruction, Three-dimensional displays}, isbn = {978-1-5090-5278-3 }, doi = {10.1109/OCEANSE.2017.8084797}, url = {https://doi.org/10.1109/OCEANSE.2017.8084797}, author = {Antonio Pe{\~n}alver and J. J. Fern{\'a}ndez and Sanz, Pedro J.} } @conference {283, title = {A benchmarking study on single image dehazing techniques for underwater autonomous vehicles}, booktitle = {OCEANS 2017 - Aberdeen}, year = {2017}, month = {10/2017}, publisher = {IEEE}, organization = {IEEE}, address = {Aberdeen (UK)}, abstract = {

Enhancing the underwater images is of utmost importance for autonomous underwater vehicles. This kind of robots usually have to deal with highly degraded images from which it is extremely difficult to accurately find, recognise or manipulate targets of interest. For this reason, a single image dehazing fast enough to run in a real time system would be an important tool facilitating image processing. In this paper, an study of different dehazing techniques is presented, experimenting with the most suitable algorithms for this context. A benchmark is described testing dark channel prior based methodologies establishing an objective evaluation of these techniques from a real time application perspective.

}, keywords = {Atmospheric modeling, autonomous underwater vehicles, Cameras, Estimation, Image color analysis, image dehazing techniques, image denoising, image processing, Image restoration, Mathematical model, Scattering, underwater images}, isbn = {978-1-5090-5278-3 }, doi = {10.1109/OCEANSE.2017.8084771}, url = {https://doi.org/10.1109/OCEANSE.2017.8084771}, author = {P{\'e}rez, Javier and Sanz, Pedro J. and M. Bryson and S. B. Williams} } @conference {285, title = {Progressive image compression and transmission with region of interest in underwater robotics}, booktitle = {OCEANS 2017 - Aberdeen}, year = {2017}, month = {10/2017}, publisher = {IEEE}, organization = {IEEE}, address = {Aberdeen (UK)}, abstract = {

The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement and, at the same time, allows the operator to get camera feedback and supervise the intervention. Moreover, the limited and varying bandwidth of underwater radio frequency (RF) and underwater acoustic modem channels is a major obstacle. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an Autonomous Underwater Vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention.

}, keywords = {Acoustics, agile data exchange, Autonomous Underwater Vehicle, autonomous underwater vehicles, Bandwidth, camera feedback, Cameras, control system synthesis, data compression, image coding, Image Compression, image sensors, Image Transmission, Low Bandwidth Communications, mobile robots, Modems, progressive image compression, Radio frequency, region of interest, Region of Interest (ROI), remotely operated vehicles, robot vision, Robots, ROI, supervised semiautonomous robots, telerobotics, underwater acoustic communication, underwater acoustic modem channels, underwater image sensor design, underwater radio frequency, underwater RF, underwater robotic intervention systems, Underwater Vehicles for Intervention, Wavelet Transforms, Wireless communication, wireless communication system}, isbn = {978-1-5090-5278-3}, doi = {10.1109/OCEANSE.2017.8084999}, url = {https://doi.org/10.1109/OCEANSE.2017.8084999}, author = {E. M. Rubino and Centelles, Diego and Sales, Jorge and Jos{\'e} Vicente Mart{\'\i} and Mar{\'\i}n, Ra{\'u}l and Sanz, Pedro J. and A. J. Alvares} } @article {271, title = {I-AUV Docking and Panel Intervention at Sea}, journal = {Sensors}, volume = {16}, year = {2016}, month = {12 October 2016}, type = {Open Access}, abstract = {

The use of commercially available autonomous underwater vehicles (AUVs) has increased during the last fifteen years. While they are mainly used for routine survey missions, there is a set of applications that nowadays can be only addressed by manned submersibles or work-class remotely operated vehicles (ROVs) equipped with teleoperated arms: the intervention applications. To allow these heavy vehicles controlled by human operators to perform intervention tasks, underwater structures like observatory facilities, subsea panels or oil-well Christmas trees have been adapted, making them more robust and easier to operate. The TRITON Spanish founded project proposes the use of a light-weight intervention AUV (I-AUV) to carry out intervention applications simplifying the adaptation of these underwater structures and drastically reducing the operational cost. To prove this concept, the Girona 500 I-AUV is used to autonomously dock into an adapted subsea panel and once docked perform an intervention composed of turning a valve and plugging in/unplugging a connector. The techniques used for the autonomous docking and manipulation as well as the design of an adapted subsea panel with a funnel-based docking system are presented in this article together with the results achieved in a water tank and at sea.

}, keywords = {autonomous underwater vehicles, field robotics, manipulation, Underwater Intervention}, doi = {10.3390/s16101673}, url = {http://www.mdpi.com/1424-8220/16/10/1673/html}, author = {Palomeras, Narc{\'\i}s and Pe{\~n}alver, Antonio and Massot-Campos, Miquel and Negre, Pep Llu{\'\i}s and Fern{\'a}ndez, Jos{\'e} Javier and Ridao, Pere and Sanz, Pedro J. and Oliver, Gabriel} }