About this Course

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Learner Career Outcomes

40%

started a new career after completing these courses

43%

got a tangible career benefit from this course

20%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 15 hours to complete
English
Subtitles: English, Spanish, Chinese (Simplified)

Skills you will gain

Particle FilterEstimationMapping

Learner Career Outcomes

40%

started a new career after completing these courses

43%

got a tangible career benefit from this course

20%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 15 hours to complete
English
Subtitles: English, Spanish, Chinese (Simplified)

Offered by

University of Pennsylvania logo

University of Pennsylvania

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Gaussian Model Learning

4 hours to complete
9 videos (Total 52 min), 3 readings, 1 quiz
9 videos
WEEK 1 Introduction1m
1.2.1. 1D Gaussian Distribution8m
1.2.2. Maximum Likelihood Estimate (MLE)6m
1.3.1. Multivariate Gaussian Distribution7m
1.3.2. MLE of Multivariate Gaussian4m
1.4.1. Gaussian Mixture Model (GMM)4m
1.4.2. GMM Parameter Estimation via EM7m
1.4.3. Expectation-Maximization (EM)6m
3 readings
MATLAB Tutorial - Getting Started with MATLAB10m
Setting Up your MATLAB Environment10m
Basic Probability10m
Week
2

Week 2

3 hours to complete

Bayesian Estimation - Target Tracking

3 hours to complete
5 videos (Total 21 min)
5 videos
Kalman Filter Motivation4m
System and Measurement Models5m
Maximum-A-Posterior Estimation4m
Extended Kalman Filter and Unscented Kalman Filter4m
Week
3

Week 3

4 hours to complete

Mapping

4 hours to complete
6 videos (Total 36 min)
6 videos
Introduction to Mapping7m
3.2.1. Occupancy Grid Map6m
3.2.2. Log-odd Update6m
3.2.3. Handling Range Sensor6m
Introduction to 3D Mapping8m
Week
4

Week 4

3 hours to complete

Bayesian Estimation - Localization

3 hours to complete
6 videos (Total 23 min)
6 videos
Odometry Modeling5m
Map Registration5m
Particle Filter4m
Iterative Closest Point5m
Closing45s

Reviews

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About the Robotics Specialization

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects....
Robotics

Frequently Asked Questions

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