USC CINAPS builds bridges: Observing and monitoring the Southern California bight

Ryan N. Smith, Jnaneshwar Das, Hördur Heidarsson, Arvind M. Pereira, Filippo Arrichiello, Ivona Cetnić, Lindsay Darjany, Marie Éve Garneau, Meredith D. Howard, Carl Oberg, Matthew Ragan, Erica Seubert, Ellen C. Smith, Beth A. Stauffer, Astrid Schnetzer, Gerardo Toro-Farmer, David A. Caron, Burton H. Jones, Gaurav S. Sukhatme

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


More than 70% of our earth is covered by water, yet we have explored less than 5% of the aquatic environment. Aquatic robots, such as autonomous underwater vehicles (AUVs), and their supporting infrastructure play a major role in the collection of oceanographic data (e.g., [11], [17], and [29]). To make new discoveries and improve our overall understanding of the ocean, scientists must make use of these platforms by implementing effective monitoring and sampling techniques to study ocean upwelling, tidal mixing, and other ocean processes. Effective observation and continual monitoring of a dynamic system as complex as the ocean cannot be done with one instrument in a fixed location. A more practical approach is to deploy a collection of static and mobile sensors, where the information gleaned from the acquired data is distributed across the network. Additionally, orchestrating amultisensor, long-term deployment with a high volume of distributed data involves a robust, rapid, and cost-effective communication network. Connecting all of these components, which form an aquatic robotic system, in synchronous operation can greatly assist the scientists in improving our overall understanding of the complex ocean environment.

Original languageEnglish (US)
Article number5430373
Pages (from-to)20-30
Number of pages11
JournalIEEE Robotics and Automation Magazine
Issue number1
StatePublished - Mar 2010


  • Adaptive control
  • Control architectures and programming
  • Marine robotics, networked robots
  • Networked teleoperation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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