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Robot Localization with Python and Particle Filters
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.
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Rating | Not enough ratings |
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Length | 2 weeks |
Effort | 1 hour |
Starts | Jul 3 (43 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Daniel Romaniuk |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Mathematics |
Tags | Computer Science Data Science Algorithms Probability And Statistics |
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Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1 hour |
Starts | Jul 3 (43 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Daniel Romaniuk |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Mathematics |
Tags | Computer Science Data Science Algorithms Probability And Statistics |
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