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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- 4 stars20.73%
- 3 stars12.39%
- 2 stars4.06%
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ROBOTICS: ESTIMATION AND LEARNING의 최상위 리뷰
It's a great course. Although the assignment is little tough, you will gain a lot after completing it.
Excellent exposure to mapping, localization, etc. Would have liked to have odometry included in the week4 assignment.
Pretty practical course It' ll involve a good amount of programming. Not quiz and theoretical verification here.
week 2 and 4 needs more information. Yet great learning experience at affordable price.
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