2011Unpublished venueRequires access

Path planning of mobile robot using new potential field method in dynamic environments

Chuanling Liu, Jing Tang, Yang Jing-yu

Open publisher page 7 citations

Abstract

The potential field method is widely used for autonomous mobile robot path planning. However, most potential field methods are designed to be applied in the stationary environment. In this paper, an improved potential field method is proposed for automatic mobile robot path planning in a dynamic environment. Improved method takes the position, the velocity, the acceleration and the physical size of the robot into account, and the relative factor of the distance and the acceleration is introduced in the potential function. The simulation result proves the effectiveness of this method.

About this research paper

What this paper is about

The potential field method is widely used for autonomous mobile robot path planning. However, most potential field methods are designed to be applied in the stationary environment. In this paper, an improved potential field method is proposed for automatic mobile robot path planning in a dynamic environment. Improved method takes the position, the velocity, the acceleration and the physical size of the robot into account, and the relative factor of the distance and the acceleration is introduced in the potential function. The simulation result proves the effectiveness of this method.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

The potential field method is widely used for autonomous mobile robot path planning. However, most potential field methods are designed to be applied in the stationary environment. In this paper, an improved potential field method is proposed for automatic mobile robot path planning in a dynamic environment. Improved method takes the position, the velocity, the acceleration and the physical size of the robot into account, and the relative factor of the distance and the acceleration is introduced in the potential function. The simulation result proves the effectiveness of this method.

Key concepts: Mobile robot, Motion planning, Potential field, Acceleration, Computer science, Robot, Path (computing), Field (mathematics)

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