Autonomous Underwater Docking using Flow State Estimation and Model Predictive Control-Reference-Cited by-同舟云学术

Autonomous Underwater Docking using Flow State Estimation and Model Predictive Control

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Vivekanandan Rakesh¹,Chang Dongsik²,Hollinger Geoffrey A.¹

Affiliation:

1. Collaborative Robotics and Intelligent Systems Institute (CoRIS), Oregon State University,Corvallis,OR,USA,97331

2. CoRIS, Oregon State University,Corvallis,OR,USA,97331

Funder

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160272.pdf?arnumber=10160272

Reference28 articles.

1. Model predictive control for underwater vehicle rendezvous and docking with a wave energy converter;vivekanandan;Proc IEEE International Conf on Robotics and Automation Workshop on Reliable AI for Marine Robotics Challenges and Opportunities virtual,0

2. Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields

3. Online motion planning for unexplored underwater environments using autonomous underwater vehicles

4. Flow state estimation and optimal control for autonomous underwater docking;vivekanandan;Proc University Marine Energy Research Community (UMERC) Conference,2022

5. Long-Term Inertial Navigation Aided by Dynamics of Flow Field Features

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