Volver a Robot Localization with Python and Particle Filters
Opiniones y comentarios de aprendices correspondientes a Robot Localization with Python and Particle Filters por parte de 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.
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1 - 3 de 3 revisiones para Robot Localization with Python and Particle Filters
por Ramya J
•14 de sep. de 2021
Very detailed course on particle filter. Gave me a clarity on the subject!
por Tim K
•21 de may. de 2022
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
por Alexander Z
•9 de ene. de 2022
Thanks!
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