Go with the flow : optimal AUV path planning in coastal environments


Autoria(s): Witt, Jonas; Dunbabin, Matthew
Contribuinte(s)

Kim, Jonghyuk

Mahony, Robert

Data(s)

2009

Resumo

This paper describes a novel optimum path planning strategy for long duration AUV operations in environments with time-varying ocean currents. These currents can exceed the maximum achievable speed of the AUV, as well as temporally expose obstacles. In contrast to most other path planning strategies, paths have to be defined in time as well as space. The solution described here exploits ocean currents to achieve mission goals with minimal energy expenditure, or a tradeoff between mission time and required energy. The proposed algorithm uses a parallel swarm search as a means to reduce the susceptibility to large local minima on the complex cost surface. The performance of the optimisation algorithms is evaluated in simulation and experimentally with the Starbug AUV using a validated ocean model of Brisbane’s Moreton Bay.

Identificador

http://eprints.qut.edu.au/68826/

Publicador

Australasian Robotics and Automation Association (ARAA)

Relação

http://www.araa.asn.au/acra/acra2008/papers/pap133s1.pdf

Witt, Jonas & Dunbabin, Matthew (2009) Go with the flow : optimal AUV path planning in coastal environments. In Kim, Jonghyuk & Mahony, Robert (Eds.) Proceedings of the 2008 Australasian Conference on Robotics & Automation, Australasian Robotics and Automation Association (ARAA), Canberra, ACT, Australia, pp. 1-9.

Direitos

Copyright 2009 Australasian Robotics and Automation Association (ARAA)

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #AUV path planning #Long duration AUV operations #Environments with time-varying ocean currents #Moreton Bay, Brisbane
Tipo

Conference Paper