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A ROS-based implementation of FastSLAM for a Turtlebot UGV

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#WARNING: This is a learning project intended to provide an easy-to-understand implementation of FastSLAM for introductory purposes. It uses naive sensor and motion models and implements many levels of abstraction that have a profound impact on its speed. This project is not actively maintained. Use at your own risk.

FastSLAM

Authors: Dexter Duckworth, Alex Lalejini, Brandon Odom

Motivation

This goal of this project is to learn about localization and mapping techniques be implementing the FastSLAM algorithm in ROSpy. FastSLAM was chosen over the standard EKF SLAM implementation in order to support a larger set of landmarks and to minimize odometry induced uncertainty.

More information on the implementation of the project can be found on the wiki here.

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A ROS-based implementation of FastSLAM for a Turtlebot UGV

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