It has become a common understanding that robotization could be one of effective solutions
to address the increasing skilled labor shortage challenge in crop production, thus the …

栅格环境下A. 算法规划出的移动机器人路径存在折线多, 转折次数多, 累计转折角度大等问题.
为获得较优路径, 提出平滑A'算法. 在A'算法规划的路径基础上, 遍历路径中的所有节点 …

The artificial potential field method is used in mobile robot path planning extensively
because of its simpleness, high efficiency and smooth path, but it also has its disadvantages …

This work investigates the conflict-free path planning problems for efficient guidance of
multiple mobile robots under the dynamic double-warehouse environment, a challenging …

Automate guide vehicle (AGV) has been widely applied in industry. Therefore, it is important
to design a highly efficient AGV. The path planning is known as one of the key factor for AGV …

We present one algorithm based on particle swarm optimization (PSO) with penalty function
to determine the conflict‐free path for mobile objects in four‐dimension (three spatial and …

Path planning is one of the important directions in the field of intelligent vehicles research.
Traditional path planning algorithms generally use Dijkstra algorithm, Breadth-First-Search …

The fuzzy optimization problem is one of the prominent topics in the broad area of artificial
intelligence. It is applicable in the field of non-linear fuzzy programming. Its application as …

The fuzzy technology reveals that everything is a matter of degree. At the moment, many
industrial production problems are solved by operational research optimization techniques …

In this paper, a new fuzzy optimization based on methodology utilizing a modified s-curve
membership function has been applied to an industrial production problem in an oil …