Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles

Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles

Ocean ecosystems have spatiotemporal variability and dynamic complexity that require a long-term deployment of an autonomous underwater vehicle for data collection. A new generation of long-range autonomous underwater vehicles (LRAUVs), such as the Slocum glider and Tethys-class AUV, has emerged wit...

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Bibliographic Details
Main Authors: Tauhidul Alam, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Wesam H. Alsabban, Ryan N. Smith, Ali Karimoddini
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Robotics and AI
Subjects:
feedback planning
energy-aware
long-range autonomous underwater vehicles
predictive ocean model
kinematic model
state uncertainty model
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2021.621820/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2021.621820/full

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