Planning the Minimum Time and Optimal Survey Trajectory for Autonomous Underwater Vehicles in Uncertain Current

Planning the Minimum Time and Optimal Survey Trajectory for Autonomous Underwater Vehicles in Uncertain Current

The authors develop an approach to a “best” time path for Autonomous Underwater Vehicles conducting oceanographic measurements under uncertain current flows. The numerical optimization tool DIDO is used to compute hybrid minimum time and optimal survey paths for a sample of currents between ebb and...

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Bibliographic Details
Main Authors: Michael A. Hurni, Kiriakos Kiriakidis
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Robotics
Subjects:
autonomous underwater vehicle
optimal path planning
numerical optimization
minimum time
objective function
Online Access:http://www.mdpi.com/2218-6581/4/4/516

Internet

http://www.mdpi.com/2218-6581/4/4/516

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