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University of Pennsylvania

Robotics: Estimation and Learning

University of Pennsylvania via Coursera

Overview

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.

Taught by

Dan Lee

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    Alex Ivanov

    Alex Ivanov completed this course.

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