Path Planning for Underactuated Unmanned Surface Vehicle Swarm Based on Deep Reinforcement Learning
Author:
Affiliation:
1. Dalian Maritime University,School of Marine Electrical Engineering,Dalian,China
2. Dalian Maritime University,School of Marine Engineering,Dalian,China
Funder
National Natural Science Foundation of China
Science and Technology Development Fund
Dalian Science and Technology Innovation Fund
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587891.pdf?arnumber=10587891
Reference28 articles.
1. Hyperbolic-Tangent LOS Guidance-Based Finite-Time Path Following of Underactuated Marine Vehicles
2. Math-data integrated prediction model for ship maneuvering motion
3. Model-Free Visual Servo Swarming of Manned-Unmanned Surface Vehicles With Visibility Maintenance and Collision Avoidance
4. Active Vision-Based Finite-Time Trajectory-Tracking Control of an Unmanned Surface Vehicle Without Direct Position Measurements
5. Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking
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