Robot Localization with Python and Particle Filters
Offered By: Coursera Project Network via Coursera
Course Description
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.
Syllabus
- Project 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.
Taught by
Daniel Romaniuk
Related Courses
Computational Investing, Part IGeorgia Institute of Technology via Coursera Введение в машинное обучение
Higher School of Economics via Coursera Математика и Python для анализа данных
Moscow Institute of Physics and Technology via Coursera Introduction to Python for Data Science
Microsoft via edX Using Python for Research
Harvard University via edX