Energy-constrained informative routing for AUVs

Nikolaos Tsiogkas, Valerio De Carolis, David Michael Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.

Original languageEnglish
Title of host publicationOCEANS 2016 - Shanghai
ISBN (Electronic)9781467397247
Publication statusPublished - 9 Jun 2016
EventOCEANS 2016 - Shanghhai, China
Duration: 10 Apr 201613 Apr 2016


ConferenceOCEANS 2016

ASJC Scopus subject areas

  • Oceanography
  • Automotive Engineering


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