Improved Dynamic Window Approach for Unmanned Surface Vehicles' Local Path Planning Considering the Impact of Environmental Factors. [PDF]
Wang Z +5 more
europepmc +1 more source
USE OF ARTIFICIAL FIDUCIAL MARKERS FOR USV SWARM COORDINATION [PDF]
Typical swarm algorithms (leader-follower, artificial potentials, etc.) rely on knowledge about the pose of each vehicle and inter-vehicle proximity.
Heubach, Matthew J.
core
A Novel Reinforcement Learning Collision Avoidance Algorithm for USVs Based on Maneuvering Characteristics and COLREGs. [PDF]
Fan Y, Sun Z, Wang G.
europepmc +1 more source
Intelligent Smart Marine Autonomous Surface Ship Decision System Based on Improved PPO Algorithm. [PDF]
Guan W, Cui Z, Zhang X.
europepmc +1 more source
Simultaneous Control and Guidance of an AUV Based on Soft Actor-Critic. [PDF]
Sola Y, Le Chenadec G, Clement B.
europepmc +1 more source
Underwater Docking Approach and Homing to Enable Persistent Operation. [PDF]
Page BR +3 more
europepmc +1 more source
Dynamic Positioning for Unmanned Surface Vehicles [PDF]
This thesis develops a Dynamic Positioning (DP) system for small marine craft by using the LQR controller approach. Development has been done with a 'Viknes 830' vessel in mind, which is operated by the company 'Maritime Robotics AS' and will be equipped
Halvorsen, HÃ¥vard
core
Comprehensive review on controller for leader-follower robotic system [PDF]
985-1007This paper presents a comprehensive review of the leader-follower robotics system. The aim of this paper is to find and elaborate on the current trends in the swarm robotic system, leader-follower, and multi-agent system.
Ali, M.S.M +8 more
core
Study on Dynamic Behavior of Unmanned Surface Vehicle-Linked Unmanned Underwater Vehicle System for Underwater Exploration. [PDF]
Vu MT +6 more
europepmc +1 more source
The focus of this paper is to develop a methodology that enables an unmanned surface vehicle (USV) to efficiently track a planned path. The introduction of a vector field-based adaptive line of-sight guidance law (VFALOS) for accurate trajectory tracking
Qi, Jie, Wanga, Ronghua, Wu, Nailong
core

