Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework

X Chen, S Liu, J Zhao, H Wu, J Xian… - Ocean & Coastal …, 2024 - Elsevier
The rapid development of shipping trade pushes automated container terminals toward the
direction of intelligence, safety and efficiency. In particular, the formulation of AGV …

A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments

X Tong, S Yu, G Liu, X Niu, C Xia, J Chen… - Advanced Engineering …, 2022 - Elsevier
Traditional artificial potential field algorithm for multi-robot formation is easy to fall into local
minima and the path planning efficiency is low. To this end, we propose a new method of a …

Trajectory and velocity planning method of emergency rescue vehicle based on segmented three-dimensional quartic bezier curve

T Chen, Y Cai, L Chen, X Xu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In order to ensure the driving safety, comfort, stability and high mobility of emergency rescue
vehicle, and considering the actual characteristics of emergency rescue vehicles like large …

Mobile robot path planning using improved mayfly optimization algorithm and dynamic window approach

A Zou, L Wang, W Li, J Cai, H Wang, T Tan - The Journal of …, 2023 - Springer
In order to solve the problems of the basic mayfly optimization algorithm (MOA) in the field of
robot path planning, such as slow convergence speed, poor accuracy, insufficient stability …

Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization

I Thammachantuek, M Ketcham - Plos one, 2022 - journals.plos.org
In this article, a new path planning algorithm is proposed. The algorithm is developed on the
basis of the algorithm for finding the best value using multi-objective evolutionary particle …

Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO

P Wu, L Zhong, J Xiong, Y Zeng… - Journal of Intelligent and …, 2023 - ieeexplore.ieee.org
With the rapid development of warehouse robots in logistics and other industries, research
on their path planning has become increasingly important. Based on the analysis of various …

An improved artificial electric field algorithm for robot path planning

J Tang, Q Pan, Z Chen, G Liu, G Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Effectively improving the optimization performance of artificial electric field algorithm (AEFA)
and broadening its application domain can aid in providing robot path planning in 3-D …

Intelligent warehouse robot path planning based on improved ant colony algorithm

Y Chen, J Wu, C He, S Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
To improve the safety and accuracy of path planning of intelligent warehouse robots, this
paper establishes a storage shelf model, incorporates Poisson Distribution to simulate the …

Dynamic path planning for mobile robots by integrating improved sparrow search algorithm and dynamic window approach

J Hou, W Jiang, Z Luo, L Yang, X Hu, B Guo - Actuators, 2024 - mdpi.com
To overcome the limitations of the sparrow search algorithm and the challenges of dynamic
obstacle avoidance in mobile robots, an integrated method combining the enhanced …

Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization

X Tan, Y Wang, C Liu, X Yuan, K Wang - Chemometrics and Intelligent …, 2023 - Elsevier
The optimization of industrial processes is crucial for enhancing operational safety,
productivity, and energy efficiency. However, the increasing complexity of industrial …