Home /Research /The Research on Multi-robot Simultaneous Localization Mapping Algorithm
SWARM

The Research on Multi-robot Simultaneous Localization Mapping Algorithm

Zhenhua Wei, Guolin Huang, Peidong Wang

Year
2007
Citations
4

Abstract

We study the multi-robots collaborating under controlled by the same worksite. And a Sherwood algorithm approach based on dynamic area for the multi-robots Simultaneous Localization and Mapping (SLAM) problem is proposed. It can calculate the location of the robots in the joint map by Sherwood algorithm. This task can be done with using a collection of the environment features of their own planar surface on which these robots are moving. The theoretical analysis and results of experiments show that the mapping of the dynamic area can greatly improve exploring efficiency and Sherwood algorithm can enhance the real-time of localization of each robot.

Keywords

RobotSimultaneous localization and mappingComputer scienceAlgorithmPlanarArtificial intelligenceTask (project management)Mobile robotComputer visionComputer graphics (images)

Related papers

Browse all SWARM papers