2021Unpublished venueRequires access

Implementation of SLAM and path planning for mobile robots under ROS framework

Zixiang Liu

Open publisher page 13 citations

Abstract

This paper mainly discusses the realization of real-time positioning and map construction of mobile robots, and the use of the improved artificial potential field method for local path planning. The FastSLAM algorithm based on particle filter is used to realize map construction. The autonomous positioning, path planning, dynamic obstacle avoidance and motion simulation of the mobile robot based on the ROS platform are realized on the gazebo platform.

About this research paper

What this paper is about

This paper mainly discusses the realization of real-time positioning and map construction of mobile robots, and the use of the improved artificial potential field method for local path planning. The FastSLAM algorithm based on particle filter is used to realize map construction. The autonomous positioning, path planning, dynamic obstacle avoidance and motion simulation of the mobile robot based on the ROS platform are realized on the gazebo platform.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper mainly discusses the realization of real-time positioning and map construction of mobile robots, and the use of the improved artificial potential field method for local path planning. The FastSLAM algorithm based on particle filter is used to realize map construction. The autonomous positioning, path planning, dynamic obstacle avoidance and motion simulation of the mobile robot based on the ROS platform are realized on the gazebo platform.

Key concepts: Motion planning, Mobile robot, Obstacle avoidance, Computer science, Obstacle, Realization (probability), Robot, Path (computing)

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