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

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

doi:10.1016/j.ifacol.2015.06.039

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 proceeding › Conference contribution

10 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 language	English
Title of host publication	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	International Federation of Automatic Control (IFAC)
Pages	238-243
Number of pages	6
Volume	48-2
DOIs	https://doi.org/10.1016/j.ifacol.2015.06.039
Publication status	Published - 2015
Event	4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015 - Girona, Spain Duration: 28 Apr 2015 → 30 Apr 2015

Publication series

Name	IFAC-PapersOnLine
Publisher	IFAC
Number	2
Volume	48
ISSN (Print)	2405-8963

Conference

Conference	4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015
Abbreviated title	NGCUV 2015
Country/Territory	Spain
City	Girona
Period	28/04/15 → 30/04/15

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1016/j.ifacol.2015.06.039

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

@inproceedings{d7e95978710a4deab0fe82fafe0904ce,

title = "PANDORA - Persistent autonomy through learning, adaptation, observation and replanning",

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.",

author = "Lane, {David Michael} and Francesco Maurelli and Petar Kormushev and Marc Carreras and Maria Fox and Konstantinos Kyriakopoulos",

year = "2015",

doi = "10.1016/j.ifacol.2015.06.039",

language = "English",

volume = "48-2",

series = "IFAC-PapersOnLine",

publisher = "International Federation of Automatic Control (IFAC)",

number = "2",

pages = "238--243",

booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

note = "4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015, NGCUV 2015 ; Conference date: 28-04-2015 Through 30-04-2015",

}

Lane, DM, 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, IFAC-PapersOnLine, no. 2, vol. 48, International Federation of Automatic Control (IFAC), pp. 238-243, 4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015, Girona, Spain, 28/04/15. https://doi.org/10.1016/j.ifacol.2015.06.039

PANDORA - Persistent autonomy through learning, adaptation, observation and replanning. / Lane, David Michael; Maurelli, Francesco; Kormushev, Petar et al.
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 48-2 International Federation of Automatic Control (IFAC), 2015. p. 238-243 (IFAC-PapersOnLine; Vol. 48, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - PANDORA - Persistent autonomy through learning, adaptation, observation and replanning

AU - Lane, David Michael

AU - Maurelli, Francesco

AU - Kormushev, Petar

AU - Carreras, Marc

AU - Fox, Maria

AU - Kyriakopoulos, Konstantinos

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84954133953&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2015.06.039

DO - 10.1016/j.ifacol.2015.06.039

M3 - Conference contribution

VL - 48-2

T3 - IFAC-PapersOnLine

SP - 238

EP - 243

BT - IFAC Proceedings Volumes (IFAC-PapersOnline)

PB - International Federation of Automatic Control (IFAC)

T2 - 4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles 2015

Y2 - 28 April 2015 through 30 April 2015

ER -

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

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this