Autonomous Underwater Robotics for Mapping, Monitoring, İntervening with, and Tracking Dynamic Events and Targets

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312).

Deadline for manuscript submissions: closed (31 May 2016) | Viewed by 8314

Special Issue Editor


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Guest Editor
Department of Engineering, Harvey Mudd College, Claremont, CA, USA
Interests: autonomous vehicles; underwater robots; field robotics; multi-robot systems; motion planning; localization and mapping

Special Issue Information

Dear Colleagues,

Autonomous Underwater Vehicles (AUVs) have matured as a technology to the point where they have become commercially available and are now being employed by government agencies and private companies. These off-the-shelf robot systems can be deployed to reliably follow preset paths and collect geo-referenced sensor measurements of environment variables on missions that last from hours to months. Pushing the boundaries of this technology, researchers have recently been developing the technology necessary for underwater robots to react to sensor measurements in situ, allowing them to make real-time decisions for optimal control and path planning. These developments are making it possible for underwater robots to react to dynamic events, re-plan on-the-fly, and track moving targets.

This Special Issue is launched to provide a compilation of current state-of-the-art and future perspectives in underwater robot technology development, with a focus on its use in handling dynamic events and targets. We invite researchers to submit recent unpublished findings on the topics of underwater robot control, state estimation, localization, artificial intelligence, mapping, path planning, sensors, propulsion, robot hardware design, multi-robot systems, applications, and autonomous navigation as they relate to underwater robots and their use for mapping, monitoring, intervening with, and tracking dynamic events and targets.

Prof. Dr. Christopher Clark
Guest Editor

Manuscript Submission Information

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Keywords

  • Autonomous Underwater Vehicles
  • Multi-Robot Systems
  • SLAM
  • Acoustic Communication
  • AUV Propulsion
  • Motion planning and Control
  • Modeling and Prediction of Dynamic and Uncertain Environments
  • Online Learning
  • Distributed Control
  • Applications in Field Robotics
  • Localization
  • Novel Testbeds, Actuators and Sensors

Published Papers (2 papers)

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Article
Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields
by Hadi Hajieghrary, Daniel Mox and M. Ani Hsieh
J. Mar. Sci. Eng. 2017, 5(1), 3; https://doi.org/10.3390/jmse5010003 - 12 Jan 2017
Cited by 15 | Viewed by 4944 | Correction
Abstract
We present information theoretic search strategies for single and multi-robot teams to localize the source of biochemical contaminants in turbulent flows. The robots synthesize the information provided by sporadic and intermittent sensor readings to optimize their exploration strategy. By leveraging the spatio-temporal sensing [...] Read more.
We present information theoretic search strategies for single and multi-robot teams to localize the source of biochemical contaminants in turbulent flows. The robots synthesize the information provided by sporadic and intermittent sensor readings to optimize their exploration strategy. By leveraging the spatio-temporal sensing capabilities of a mobile sensing network, our strategies result in control actions that maximize the information gained by the team while minimizing the time spent localizing the biochemical source. By leveraging the team’s ability to obtain simultaneous measurements at different locations, we show how a multi-robot team is able to speed up the search process resulting in a collaborative information theoretic search strategy. We validate our proposed strategies in both simulations and experiments. Full article
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Correction
Correction: Hajieghrary, H.; Mox, D.; Hsieh, M.A. Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields. Journal of Marine Science and Engineering 2017, 5, 3
by Hadi Hajieghrary, Daniel Mox and M. Ani Hsieh
J. Mar. Sci. Eng. 2017, 5(2), 23; https://doi.org/10.3390/jmse5020023 - 05 Jun 2017
Cited by 1 | Viewed by 2965
Abstract
The authors wish to correct the Acknowledgments section in their paper [1] as follows: [...]
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