University of Pennsylvania

Robotics: Estimation and Learning

This course is part of Robotics Specialization

Taught in English

Some content may not be translated

Daniel Lee

Instructor: Daniel Lee

31,817 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(500 reviews)

14 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Course

Gain insight into a topic and learn the fundamentals

4.3

(500 reviews)

14 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Robotics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

We will learn about the Gaussian distribution for parametric modeling in robotics. The Gaussian distribution is the most widely used continuous distribution and provides a useful way to estimate uncertainty and predict in the world. We will start by discussing the one-dimensional Gaussian distribution, and then move on to the multivariate Gaussian distribution. Finally, we will extend the concept to models that use Mixtures of Gaussians.

What's included

9 videos3 readings1 programming assignment

We will learn about the Gaussian distribution for tracking a dynamical system. We will start by discussing the dynamical systems and their impact on probability distributions. This linear Kalman filter system will be described in detail, and, in addition, non-linear filtering systems will be explored.

What's included

5 videos1 programming assignment

We will learn about robotic mapping. Specifically, our goal of this week is to understand a mapping algorithm called Occupancy Grid Mapping based on range measurements. Later in the week, we introduce 3D mapping as well.

What's included

6 videos1 programming assignment

We will learn about robotic localization. Specifically, our goal of this week is to understand a how range measurements, coupled with odometer readings, can place a robot on a map. Later in the week, we introduce 3D localization as well.

What's included

6 videos1 programming assignment

Instructor

Instructor ratings
4.0 (19 ratings)
Daniel Lee
University of Pennsylvania
1 Course31,817 learners

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