How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping.
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- 3 stars12.39%
- 2 stars4.06%
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來自ROBOTICS: ESTIMATION AND LEARNING的熱門評論
It's a great course. Although the assignment is little tough, you will gain a lot after completing it.
This course was interesting but I think the video material was too shallow and not detailed enough. The assignment for Week 4 was extremely challenging!
week 2 and 4 needs more information. Yet great learning experience at affordable price.
The material is clearly presented. The Matlab exercises complement and reinforce the subject, the level of difficulty is well balanced, thanks for this great course.