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Title:	PANDORA: Persistent Autonomy through Learning, Adaptation, Observation and Re-planning
Author:	David M. Lane, Francesco Maurelli, Tom Larkworthy, Darwin Caldwell, Joaquim Salvi, Maria Fox, Konsta
Year:	2012
Book / Journal:	Proceedings of IFAC NGCUV'12
Abstract:	Autonomous robots are not very good at being autonomous. Operating in real environments, they easily get stuck, often ask for help, and generally succeed only when attempting simple tasks in well-known situations. PANDORA is a three year project that will develop and evaluate new computational methods to make underwater robots Persistently Autonomous, signicantly reducing the frequency of assistance requests. The key to this is an ability to recognise failure and respond to it, at all levels of abstraction and time constant. Under the guidance of major industrial players, validation tasks of Inspection, cleaning and valve turning will be trialled with partners' AUVs in Scotland and Spain.
Keywords:	,
BibTex:	@INPROCEEDINGS{Lane2012,   author = {David M. Lane and Francesco Maurelli and Tom Larkworthy and Darwin      Caldwell and Joaquim Salvi and Maria Fox and Konstantinos Kyriakopoulos},   title = {PANDORA: Persistent Autonomy through Learning, Adaptation, Observation      and Re-planning},   booktitle = {Proceedings of IFAC NGCUV 2012 - Navigation, Guidance and Control      of Underwater Vehicles},   year = {2012},   owner = {franmau},   timestamp = {2012.06.25} }
PDF:	ifacconf.pdf