Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

This research introduces a path planning method based on the geometric A-star algorithm.
The whole approach is applied to an Automated Guided Vehicle (AGV) in order to avoid the …

This paper presents a hybrid approach for path planning of multiple mobile robots in
continuous environments. For this purpose, first, an innovative Artificial Potential Field (APF) …

In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

This paper investigates the novel path navigation method for an unmanned surface vehicle
(USV), which is divided into two-stage: global path planning and path control. In the first …

This paper proposes a new path planning approach for emergency evacuation simulation.
This technique combines the Extended Social Force Model (ESFM) and the Improved …

针对复杂非结构化环境下移动机器人的路径规划问题, 提出了将全局与局部规划算法相融合的
路径规划方法. 首先, 对传统A∗ 方法进行了有效的改进, 新的A∗ 算法能够完成机器人的路径 …

This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …