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A GOA-based fault-tolerant trajectory tracking control for an underwater vehicle of multi-thruster system without actuator saturation
D Zhu, L Wang, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes an intelligent fault-tolerant control (FTC) strategy to tackle the trajectory
tracking problem of an underwater vehicle (UV) under thruster damage (power loss) cases …
tracking problem of an underwater vehicle (UV) under thruster damage (power loss) cases …
[PDF][PDF] Abio-inspiredalgorithminimage-based pathplanning and localization using visual features and maps
With the growing applications of autonomous robots and vehicles in unknown environments,
studies on image-based localization and navigation have attracted a great deal of attention …
studies on image-based localization and navigation have attracted a great deal of attention …
Fault-Tolerant Control of Remotely Operated Vehicle Thrusters Based on the Dung Beetle Optimizer
Z Yin, W Gan, J Ou, Z Wang - 2024 7th International …, 2024 - ieeexplore.ieee.org
A biological population-based algorithm, the dung beetle optimizer, is used for thrust
redistribution in the event of thruster failure in remotely operated vehicle (ROV). Firstly, a …
redistribution in the event of thruster failure in remotely operated vehicle (ROV). Firstly, a …
Mission-Oriented Gaussian Process Motion Planning for UUVs Over Complex Seafloor Terrain and Current Flows
Wepresent a novel motion planning framework for unmanned underwater vehicles (UUVs)-
the first framework that applies Gaussian process motion planning to solve a 3D path …
the first framework that applies Gaussian process motion planning to solve a 3D path …
[PDF][PDF] Investigation of Stochastic Deep Learning Motion Planning Methods for Autonomous Robots
S Ploeger - 2023 - atrium.lib.uoguelph.ca
Effective path planning is an essential part of motion planning for autonomous mobile robots
and vehicles. Classical sampling-based path planning methods, such as RRT* are not time …
and vehicles. Classical sampling-based path planning methods, such as RRT* are not time …