Robot Localization with Python and Particle Filters(으)로 돌아가기
Coursera Project Network의 Robot Localization with Python and Particle Filters 학습자 리뷰 및 피드백
10개의 평가
강좌 소개
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.
최상위 리뷰
필터링 기준:
Robot Localization with Python and Particle Filters의 3개 리뷰 중 1~3
교육 기관: Ramya J
•2021년 9월 14일
Very detailed course on particle filter. Gave me a clarity on the subject!
교육 기관: Tim K
•2022년 5월 21일
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
교육 기관: Alexander Z
•2022년 1월 9일
Thanks!
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