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Coursera Project Network

Robot Localization with Python and Particle Filters

Coursera Project Network via Coursera

Overview

In this one hour long project-based course, you will tackle a real-world problem in robotics. We will be simulating a robot that can move around in an unknown environment, and have it discover its own location using only a terrain map and an elevation sensor. We will encounter some of the classic challenges that make robotics difficult: noisy sensor data, and imprecise movement.

We will tackle these challenges with an artificial intelligence technique called a particle filter.

By the end of this project, you will have coded a particle filter from scratch using Python and numpy.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Taught by

Daniel Romaniuk

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