Performance Analysis of an Indoor Localization and Mapping System Using 2D Laser Range Finder Sensor

There is several implementations of techniques for solving the SLAM problem that is a process to expand autonomous mobile robots field. In this context, we will be comparing swarm algorithms for solving the simultaneous localization and mapping problem such as Firefly Algorithm, Particle Swarm Optimization and Glowworm Swarm Optimization, we directed a group of experiments using a wireless system composed of 2D laser range finder UTM-30LX, iRobot Roomba 600 and Raspberry Pi 3 as an experimental environment.
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IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21-23 Oct. 2018, Washington, DC, USA