Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters

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

Wang Wei¹,Cao Xiaojing²,Gonzalez-Garcia Alejandro³,Yin Lianhao¹,Hagemann Niklas³,Qiao Yuanyuan³,Ratti Carlo³,Rus Daniela¹

Affiliation:

1. Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Lab (CSAIL),Cambridge,MA,USA,02139

2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT),Intelligent Perception and Computing Research Center,Beijing,China,100876

3. Massachusetts Institute of Technology,SENSEable City Laboratory,Cambridge,MA,USA,02139

Funder

Knut and Alice Wallenberg Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160858.pdf?arnumber=10160858

Reference38 articles.

1. Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach

2. On the Theory of the Brownian Motion

3. Guidance and control methodologies for marine vehicles: A survey

4. Line-of-sight path following of underactuated marine craft

5. An enhanced tracking control of marine surface vessels based on adaptive integral sliding mode control and disturbance observer

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