PANDORA - Persistent autonomy through learning, adaptation, observation and replanning

David Michael Lane, Francesco Maurelli, Petar Kormushev, Marc Carreras, Maria Fox, Konstantinos Kyriakopoulos

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

2 Citations (Scopus)

Abstract

PANDORA is a EU FP7 project that is developing new computational methods to make underwater robots Persistently Autonomous, significantly reducing the frequency of assistance requests. The aim of the project is to extend the range of tasks that can be carried on autonomously and increase their complexity while reducing the need for operator assistances. Dynamic adaptation to the change of conditions is very important while addressing autonomy in the real world and not just in well-known situation. The key of Pandora is the ability to recognise failure and respond to it, at all levels of abstraction. Under the guidance of major industrial players, validation tasks of inspection, cleaning and valve turning have been trialled with partners' AUVs in Scotland and Spain.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherInternational Federation of Automatic Control (IFAC)
Pages238-243
Number of pages6
Volume48-2
DOIs
Publication statusPublished - 2015
Event4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015 - Girona, Spain
Duration: 28 Apr 201530 Apr 2015

Publication series

NameIFAC-PapersOnLine
PublisherIFAC
Number2
Volume48
ISSN (Print)2405-8963

Conference

Conference4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015
Abbreviated titleNGCUV 2015
CountrySpain
CityGirona
Period28/04/1530/04/15

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Lane, D. M., Maurelli, F., Kormushev, P., Carreras, M., Fox, M., & Kyriakopoulos, K. (2015). PANDORA - Persistent autonomy through learning, adaptation, observation and replanning. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 48-2, pp. 238-243). (IFAC-PapersOnLine; Vol. 48, No. 2). International Federation of Automatic Control (IFAC). https://doi.org/10.1016/j.ifacol.2015.06.039