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Monte Carlo Localization with simultaneous 8-directional mapping in the ROS / Gazebo simulator with quick example report.

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mvilsoet/SLAM_analysis

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SLAM in ROS / Gazebo simulator with analysis

Example of comparative analysis of a few parameters for a SLAM algorithm. The Gazebo environment and the Linux Machine used to run my algorithms are University of Illinois Department of Electrical and Computer Engineering property.

SLAM.mp4

Screenshot_1 Screenshot_2 Screenshot_3 Screenshot_4 Screenshot_5 Screenshot_7

To run the project

The entire repo is a catkin workspace. You need Gazebo and ROS Noetic in order to run the package. Launch the Gazebo Environment, then run the control file for the agent. Then, run the main.py experiments.

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Monte Carlo Localization with simultaneous 8-directional mapping in the ROS / Gazebo simulator with quick example report.

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