Robot Localization with Python and Particle Filters に戻る
Coursera Project Network による Robot Localization with Python and Particle Filters の受講者のレビューおよびフィードバック
10件の評価
コースについて
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.
人気のレビュー
フィルター：
Robot Localization with Python and Particle Filters： 1 - 3 / 3 レビュー
by Ramya J
•2021年9月14日
Very detailed course on particle filter. Gave me a clarity on the subject!
by Tim K
•2022年5月21日
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
by Alexander Z
•2022年1月9日
Thanks!
Coursera Footer
©2022 Coursera Inc.All rights reserved.
