[HTML][HTML] Path planning techniques for mobile robots: Review and prospect
L Liu, X Wang, X Yang, H Liu, J Li, P Wang - Expert Systems with …, 2023 - Elsevier
Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …
distance and least time-consuming from the starting point to the end point by a mobile robot …
[HTML][HTML] Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …
problems. Topology and updating strategies are among its key concepts and have …
Robust trajectory tracking control for a quadrotor using recursive sliding mode control and nonlinear extended state observer
L Chen, Z Liu, Q Dang, W Zhao, G Wang - Aerospace Science and …, 2022 - Elsevier
The trajectory tracking performance of a quadrotor is affected by the load variations, wind
gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory …
gusts, inaccurate model parameters, etc. This study proposes a novel robust trajectory …
Transferable adaptive differential evolution for many-task optimization
The evolutionary multitask optimization (EMTO) algorithm is a promising approach to solve
many-task optimization problems (MaTOPs), in which similarity measurement and …
many-task optimization problems (MaTOPs), in which similarity measurement and …
[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
Enhanced multi-strategy bottlenose dolphin optimizer for UAVs path planning
G Hu, F Huang, A Seyyedabbasi, G Wei - Applied Mathematical Modelling, 2024 - Elsevier
The path planning of unmanned aerial vehicle is a complex practical optimization problem,
which is an important part of unmanned aerial vehicle technology. For constrained path …
which is an important part of unmanned aerial vehicle technology. For constrained path …
Cooperative MASS path planning for marine man overboard search
Abstract In a Man Overboard (MOB) incident, a quick and effective Search and Rescue
(SAR) operation is crucial to increase the survival probability of the victim. Determining the …
(SAR) operation is crucial to increase the survival probability of the victim. Determining the …
Uav path planning in 3-d constrained environments based on layered essential visibility graphs
In this article, an optimal path search methodology for unmanned aerial vehicles (UAVs)
flying in 3-D environments is presented, taking into account the presence of obstacles and …
flying in 3-D environments is presented, taking into account the presence of obstacles and …
Combinations of novel hybrid optimization algorithms‐based trajectory planning analysis for an industrial robotic manipulators
In this paper, an optimal collision‐free trajectory is developed based on the hybrid
optimization algorithms for industrial robotic manipulators (IRMs). Three IRMs such as …
optimization algorithms for industrial robotic manipulators (IRMs). Three IRMs such as …