Coursera Project Network
Robot Localization with Python and Particle Filters
Coursera Project Network

Robot Localization with Python and Particle Filters

Daniel Romaniuk

Instructor: Daniel Romaniuk

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.5

(23 reviews)

Advanced level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.5

(23 reviews)

Advanced level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning

What you'll learn

  • Code a particle filter from scratch in Python and use it to solve the robot localization problem.

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load a map from file

  2. Control robot movement

  3. Initialize a particle filter

  4. Sense the terrain elevation

  5. Resample the particle filter

Recommended experience

Intermediate Python, numpy, and probability theory

3 project images

Instructor

Daniel Romaniuk
Coursera Project Network
1 Course1,487 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Learner reviews

4.5

23 reviews

  • 5 stars

    69.56%

  • 4 stars

    21.73%

  • 3 stars

    0%

  • 2 stars

    4.34%

  • 1 star

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Showing 3 of 23

RJ
5

Reviewed on Sep 13, 2021

New to Algorithms? Start here.

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