About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 7 months to complete

Suggested 7 hours/week

English

Subtitles: English, Spanish, Chinese (Simplified)

What you will learn

  • Check

    Motion Planning

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    Matlab

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    Estimation

Skills you will gain

Motion PlanningParticle FilterMatlab

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 7 months to complete

Suggested 7 hours/week

English

Subtitles: English, Spanish, Chinese (Simplified)

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 6 Courses in this Specialization

Course1

Robotics: Aerial Robotics

4.5
2,124 ratings
545 reviews
Course2

Robotics: Computational Motion Planning

4.2
799 ratings
204 reviews
Course3

Robotics: Mobility

3.9
469 ratings
119 reviews
Course4

Robotics: Perception

4.4
498 ratings
128 reviews

Instructors

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Jianbo Shi

Professor of Computer and Information Science
School of Engineering and Applied Science
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Vijay Kumar

Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied Mechanics
School of Engineering and Applied Science
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Daniel Lee

Professor of Electrical and Systems Engineering
School of Engineering and Applied Science
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CJ Taylor

Professor of Computer and Information Science
School of Engineering and Applied Science
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Daniel E. Koditschek

Professor of Electrical and Systems Engineering
School of Engineering and Applied Science
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Sid Deliwala

Director, Electrical and Systems Engineering Labs and Lecturer, Electrical and Systems Engineering
Department of Electrical and Systems Engineering
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Kostas Daniilidis

Professor of Computer and Information Science
School of Engineering and Applied Science

About University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but learners are able to complete the Specialization in as few as six months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • No particular background is necessary, however, some knowledge of engineering and mathematics is helpful.

  • You can receive a full refund up to two weeks after payment. View the full refund policy.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit.

  • You will be able to program a robot’s movement and flight. The specialization is designed to help you move into a career in Robotics, engineering or other industries where robots are used to make technological advancement in the field.

  • The specialization requires the use of MATLAB which is provided for free from MathWorks. Included in the specialization are instructional videos and download information for the use of MATLAB. MATLAB will require the use of a 64-bit computer.

  • We will provide resources that might help prepare you to take this specialization.

More questions? Visit the Learner Help Center.