The light autonomous underwater vehicle: Evolutions and networking

Madureira, L.; Sousa, Alexandre; Braga, Juan C.; Calado, Pedro; Dias, Paulo Sousa; Martins, Ricardo; Pinto, José; Sousa, João Borges de

doi:10.1109/oceans-bergen.2013.6608189

Cited by 32 publications

(16 citation statements)

References 4 publications

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“…As such, the AUVs of the Xtreme class use a much more sophisticated localisation system using DVL and tactical grade IMU, which can be further improved using localisation beacons (such as other vehicles) or external USBL modems. To avoid obstacles, the AUVs use a forward-looking echo sounder which detects obstacles at up to 30 meters giving it enough time to stop and ascend to avoid it [2]. In terms of payloads, these vehicles typically carry sidescan sonars, multibeam sonars and (in some cases) magnetometer and optical cameras.…”

Section: Tools and Technologies A Hardwarementioning

confidence: 99%

REP18 Atlantic – A Large Scale Exercise Using Unmanned Systems, Field Report

Lima

Dias

Costa

et al. 2019

OCEANS 2019 - Marseille

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We describe the 2018 edition of the Recognised Environmental Picture exercise (REP18). Every year, the Portuguese Navy hosts an international exercise where challenging and novel operational scenarios are tested in a controlled environment. This is done to achieve a readiness level that allows the use of those developments in future real-world scenarios. The objectives range from military to different scientific purposes, always aiming for the use of innovative though operational technologies. In this paper we document the 2018 objectives and results, as well as innovations that helped resolving the challenges posed by this operational environment enriched by multiple heterogeneous vehicles.Index Terms-Marine operations, Autonomous Underwater Vehicle, Unmanned Aerial Vehicle, Autonomous Vehicle Network

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Section: Tools and Technologies A Hardwarementioning

confidence: 99%

REP18 Atlantic – A Large Scale Exercise Using Unmanned Systems, Field Report

Lima

Dias

Costa

et al. 2019

OCEANS 2019 - Marseille

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“…3. The code is basically structured in 5 segments: (1) configuration (lines 1-3); (2) vehicle selection (4-14); (3) an auxiliary function for parameterising the UUV tasks (16)(17)(18)(19)(20)(21)(22)(23)(24); (4) the execution of desired tasks using all 4 vehicles (25-38), and; (5) program termination, decoupling the vehicles from the program and displaying a simple final message (39-41).…”

Section: B Example Programmentioning

confidence: 99%

Dolphin: A Task Orchestration Language for Autonomous Vehicle Networks

Lima

Marques

Pinto

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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We present Dolphin, an extensible programming language for autonomous vehicle networks. A Dolphin program expresses an orchestrated execution of tasks defined compositionally for multiple vehicles. Building upon the base case of elementary one-vehicle tasks, the built-in operators include support for composing tasks in several forms, for instance according to concurrent, sequential, or event-based task flow. The language is implemented as a Groovy DSL, facilitating extension and integration with external software packages, in particular robotic toolkits. The paper describes the Dolphin language, its integration with an open-source toolchain for autonomous vehicles, and results from field tests using unmanned underwater vehicles (UUVs) and unmanned aerial vehicles (UAVs). 1

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“…Smaller vehicles have been developed. The LAUV [1] is a good example of those small-sized AUV that are one-man portable and allow smaller logistics and simpler handling, thanks to their dimensions (0.15 m hull diameter; 1.2 m standard length) and light weight (16 kg). However, its motion capabilities, along with that of similar small-sized vehicles, restrict its navigation in confined volumes as the attitude and Other examples of AUV have more than 1.5 m of length and 30 kg in weight [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Design and development of SHAD - a Small Hovering AUV with Differential actuation

Goncalves

Ferreira

Matos

2016

OCEANS 2016 MTS/IEEE Monterey

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This paper presents the design and development of a new Autonomous Underwater Vehicle (AUV). SHAD, which stands for Small Hovering AUV with Differential actuation, is a torpedo shaped vehicle that was conceptually designed to navigate in challenging volumes. It brings to the scene of submarine robotics a different model and new design of AUV. The small size, the light weight and the high maneuverability of this AUV were among the most important features that can make the SHAD an option to applications where other models have difficulties. This paper details the design and the development of SHAD and presents experimental results from sensors and actuators testing as well as vehicle navigation.

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The light autonomous underwater vehicle: Evolutions and networking

Cited by 32 publications

References 4 publications

REP18 Atlantic – A Large Scale Exercise Using Unmanned Systems, Field Report

REP18 Atlantic – A Large Scale Exercise Using Unmanned Systems, Field Report

Dolphin: A Task Orchestration Language for Autonomous Vehicle Networks

Design and development of SHAD - a Small Hovering AUV with Differential actuation

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