Software adaptation for an unmanned undersea vehicle

Research output: Contribution to journalArticle

Authors

  • Avi Pfeffer
  • Curt Wu
  • Gerald Fry
  • Kenny Lu
  • Steve Marotta
  • Mike Reposa
  • Yuan Shi
  • T. K. Satish Kumar
  • Craig A. Knoblock
  • Irfan Muhammad

Colleges, School and Institutes

External organisations

  • Charles River Analytics
  • University of Southern California Information Sciences Institute

Abstract

Most current software systems are not adaptable, making them less capable of achieving their objectives. We are developing a method to optimize software for new environments automatically. An independent evaluation has demonstrated that this method adapts to degraded sensors, changing environmental conditions, and a loss of power.

Details

Original languageEnglish
Article number8648259
Pages (from-to)91-96
Number of pages6
JournalIEEE Software
Volume36
Issue number2
Early online date21 Feb 2019
Publication statusPublished - 1 Mar 2019

Keywords

  • remotely operated vehicles, underwater vehicles, current software systems, software adaptation, environmental conditions, unmanned undersea vehicle, Software development management, Probabilistic logic, Navigation, Sensor systems, Optimization