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Coordinated multi-robot exploration using a segmentation of the environment

Kai M. Wurm, Cyrill Stachniss, Wolfram Burgard

Year
2008
Citations
250

Abstract

This paper addresses the problem of exploring an unknown environment with a team of mobile robots. The key issue in coordinated multi-robot exploration is how to assign target locations to the individual robots such that the overall mission time is minimized. In this paper, we propose a novel approach to distribute the robots over the environment that takes into account the structure of the environment. To achieve this, it partitions the space into segments, for example, corresponding to individual rooms. Instead of only considering frontiers between unknown and explored areas as target locations, we send the robots to the individual segments with the task to explore the corresponding area. Our approach has been implemented and tested in simulation as well as in real world experiments. The experiments demonstrate that the overall exploration time can be significantly reduced by considering our segmentation method.

Keywords

RobotComputer scienceTask (project management)Mobile robotKey (lock)SegmentationArtificial intelligenceSpace (punctuation)Human–computer interactionComputer vision

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