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.
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- المدة 4 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
Practical Application via Rhyme
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Readings
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Plugin
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Lab
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Assignment
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- Robot Localization
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Readings
- Project-based Course Overview
Auto Summary
Explore the exciting world of robotics with "Robot Localization with Python and Particle Filters." This intermediate-level, one-hour course offers a hands-on project simulating a robot navigating an unknown environment using a terrain map and elevation sensor. Tackle challenges like noisy sensor data with particle filter AI techniques, and code from scratch using Python and numpy. Ideal for IT and Computer Science enthusiasts, this free Coursera course is perfect for learners in North America.
Daniel Romaniuk