Вернуться к Robot Localization with Python and Particle Filters
Отзывы учащихся о курсе Robot Localization with Python and Particle Filters от партнера Coursera Project Network
Оценки: 10
О курсе
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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1–3 из 3 отзывов о курсе Robot Localization with Python and Particle Filters
автор: Ramya J
•14 сент. 2021 г.
Very detailed course on particle filter. Gave me a clarity on the subject!
автор: Tim K
•21 мая 2022 г.
Nice introduction I hope there is a follow up.
Lots of questions still un awnsered but this is a clear instruction that is easy to follow a long. Hope there will be a recomendation or followup with more information and indepth theorie. Also that makes you think a bit more
автор: Alexander Z
•9 янв. 2022 г.
Thanks!
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