Adaptive sampling with an autonomous underwater vehicle in static marine environments

Author:

Stankiewicz Paul1ORCID,Tan Yew T.2ORCID,Kobilarov Marin1

Affiliation:

1. Department of Mechanical Engineering Johns Hopkins University Baltimore Maryland USA

2. GE Research Niskayuna New York USA

Funder

U.S. Department of Agriculture

National Science Foundation

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference61 articles.

1. Arora S. &Scherer S.(2017). Randomized algorithm for informative path planning with budget constraints. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4997–5004). IEEE.

2. Binney J. &Sukhatme G. S.(2012). Branch and bound for informative path planning. In 2012 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2147–2154). IEEE.

3. Orienteering-based informative path planning for environmental monitoring

4. Convergence rates of efficient global optimization algorithms;Bull A. D.;Journal of Machine Learning Research,2011

5. Cao N. Low K. H. &Dolan J. M.(2013). Multi‐robot informative path planning for active sensing of environmental phenomena: A tale of two algorithms. In Proceedings of the 2013 international conference on Autonomous agents and multi‐agent systems(pp.7–14). International Foundation for Autonomous Agents and Multiagent Systems.

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