Mobile robots are increasingly used in automated industrial environments. There are also
other applications like planet exploration, surveillance, landmine detection, etc. In all these …

The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …

In this paper, optimal paths in environments with static and dynamic obstacles for a mobile
robot (MR) are computed using a new method for path planning. The proposed method …

Lane-changing trajectory planning (LTP) is an effective concept to control automated
vehicles (AVs) in mixed traffic, which can reduce traffic conflicts and improve overall traffic …

In this paper, we introduce the concept of Parallel Evolutionary Artificial Potential Field
(PEAPF) as a new method for path planning in mobile robot navigation. The main …

Artificial potential field has long been proposed in the field of robot path planning. But the
well-known drawbacks like local minimal problem and low efficiency prevent its wide …

Robotics sector have achieved enormous founds in recent years due to its high demands in
factories to carry out high-precision jobs like riveting and welding. They are also often …

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm,
which provides intelligent vehicles with a global path towards their destinations. A …

Robots are currently replacing humans in different tasks in various sectors. Among the vital
features desirable in autonomous robots is the capability of navigating safely through a …

The goal of this paper is to provide a survey and application-focused atlas of collective
behavior coordination algorithms for multi-agent systems. We survey the general family of …