Robot Localization with Python and Particle Filters
17 ratings

Code a particle filter from scratch in Python and use it to solve the robot localization problem.
17 ratings
Code a particle filter from scratch in Python and use it to solve the robot localization problem.
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.
Particle Filter
Artificial Intelligence (AI)
localization
Robotics
Numpy
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Load a map from file
Control robot movement
Initialize a particle filter
Sense the terrain elevation
Resample the particle filter
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by RJ
Sep 13, 2021Very detailed course on particle filter. Gave me a clarity on the subject!
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