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返回到 Robot Localization with Python and Particle Filters

學生對 Coursera Project Network 提供的 Robot Localization with Python and Particle Filters 的評價和反饋

10 個評分
3 條評論


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....



1 - Robot Localization with Python and Particle Filters 的 3 個評論(共 3 個)

創建者 Ramya J


V​ery detailed course on particle filter. Gave me a clarity on the subject!

創建者 Tim K


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

創建者 Alexander Z