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BibTex format

author = {Lane, DM and Maurelli, F and Kormushev, P and Carreras, M and Fox, M and Kyriakopoulos, K},
doi = {10.1016/j.ifacol.2015.06.039},
pages = {238--243},
title = {PANDORA - Persistent autonomy through learning, adaptation, observation and replanning},
url = {},
year = {2015}

RIS format (EndNote, RefMan)

AB - © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. 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.
AU - Lane,DM
AU - Maurelli,F
AU - Kormushev,P
AU - Carreras,M
AU - Fox,M
AU - Kyriakopoulos,K
DO - 10.1016/j.ifacol.2015.06.039
EP - 243
PY - 2015///
SP - 238
TI - PANDORA - Persistent autonomy through learning, adaptation, observation and replanning
UR -
UR -
ER -