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SLAM, localization, and state estimation algorithms for a simple 2D robot in python. Consists of homework and projects of ME595R autonomous systems taken in Fall 2019 at BYU. Algorithms based on ones from Probabilistic Robotics textbook by Thrun, Burgard, and Fox.

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autonomous-systems

Repo for homework and projects of ME595R, autonomous systems. Primarily consists of localization and SLAM algorithms for a robot in 2D space with noisy velocity and heading commands.

To run a module:

python3 -m extended_kalman_filter.run_sim

Requirements

Numpy

Scipy

Matplotlib

Sklearn

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SLAM, localization, and state estimation algorithms for a simple 2D robot in python. Consists of homework and projects of ME595R autonomous systems taken in Fall 2019 at BYU. Algorithms based on ones from Probabilistic Robotics textbook by Thrun, Burgard, and Fox.

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