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Carnegie Mellon Robotics Institute

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Abstract

This paper describes an architecture for environmental science sensors deployed on a fleet of networked unmanned extended-deployment autonomous ocean surface vessels. This architecture allows one land-based human scientist to effectively supervise data gathering through a web of widely-dispersed mobile sensors supported by multiple robotic assets to enable in situ study of phenomena at the interface between the ocean and the atmosphere. In addition to meteorological and ocean surface data, the system supports characterization of Harmful Algal Blooms (HABs).

Notes

Associated Lab(s) / Group(s): Tele-Supervised Autonomous Robotics

Associated Project(s): Telesupervised Adaptive Ocean Sensor Fleet

Number of pages: 4

Text Reference

Gregg Podnar, John M. Dolan, and Alberto Elfes, "Networked Architecture for Robotic Environmental Ocean Science Sensors," Workshop Proceedings Sensing a Changing World, November, 2008.

BibTeX Reference

@inproceedings{Podnar_2008_6239,
   author = "Gregg Podnar and John M Dolan and Alberto Elfes",
   title = "Networked Architecture for Robotic Environmental Ocean Science Sensors",
   booktitle = "Workshop Proceedings Sensing a Changing World",
   publisher = "Centre for Geo- information, Wageningen University and Research Centre",
   address = "Wageningen, The Netherlands",
   month = "November",
   year = "2008",
}

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