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[UDACITY Premium] Robotics Software Engineer NanoDegree Course v1.0.0

Robotics Software Engineer Course

Robotics Software Engineer NanoDegree

Build five hands-on projects to acquire core robotics software engineering skills: ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.

  • SKILL COVEREDC++ROSLocalizationMappingSLAMNavigationPath Planning+ MORE
  • CLASSROOM OPENS30 January 2019DURATION4 MonthsWe recommend 10 hrs/week

Why Take This Nanodegree Program?

In this program, you’ll learn core robotics skills necessary for success in the field: Localization, Mapping, Simultaneous Localization and Mapping (SLAM), Path Planning, and Navigation. You’ll implement these algorithms with C++, Robot Operating System (ROS), and the Gazebo simulator, and complete five hands-on projects to showcase your skills to hiring managers.

Why Take This Nanodegree Program?

Job openings for robotics software engineers grew over 50% from 2017 to 2018

Learn Core Robotics Skills
Learn Core Robotics Skills

Learn Core Robotics Skills

Learn probabilistic robotics algorithms such as Localization, Mapping, Simultaneous Localization and Mapping (SLAM), Path Planning, and Navigation, and implement them using C++, the Robot Operating System (ROS), and Gazebo.

Build Five Hands-On Projects

Build Five Hands-On Projects

Build five interactive projects using C++ and ROS, and use them to demonstrate your skills in probabilistic robotics algorithms to recruiters and hiring managers.

Beneficial and Supportive Project Review
Beneficial and Supportive Project Review

Beneficial and Supportive Project Review

Advance quickly and successfully through the curriculum with the support of qualified reviewers whose detailed feedback will ensure you learn skills the right way.

Career Support

Career Support

Our experts will review your LinkedIn and GitHub profiles, and help prepare you for successful interviews for robotics jobs.

Advance your Career

This program was built in collaboration with robotics engineers to ensure you learn the skills necessary for success in the field. Demand for skilled robotics engineers is skyrocketing, but it’s important to understand and learn what it really takes to be a qualified robotics software engineer. This program prioritizes mastering job-ready skills with a hands-on approach.

Hiring Partners

Robotics software engineers are in high demand. Create your professional portfolio with Udacity and open up a world of career opportunities. Our hiring partners are eager to meet you.

Succeed with Recruiters

Work with experienced career professionals for tailored advice on how to improve your job search and impress recruiters, including feedback on your LinkedIn, GitHub, and professional brand.

Build a Great Network

65,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!

Learn with the best

Sebastian Thrun
Sebastian Thrun


As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.

David Silver
David Silver


David Silver leads the School of Autonomous Systems at Udacity. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in computer science from Princeton.

Karim Chamaa
Karim Chamaa


Karim started his early career as a Mechanical Engineer. He earned his M.S. in Mechatronics and Robotics Engineering from NYU. His specialties include Kinematics, Control, and Electronics.

Julia Chernushevich
Julia Chernushevich


Julia is an instructor of Mechatronics Engineering at the University of Waterloo. Her previous work experiences include designing electric vehicles for underground mines and leading a prestigious STEM enrichment program for gifted high-school students.


  • C++
  • ROS
  • Localization
  • Mapping
  • SLAM
  • Navigation
  • Path Planning

What You Will Learn


Robotics Software Engineer Nanodegree Program

Begin your exploration into the world of robotics software engineering with a practical, system-focused approach to programming robots using the ROS framework and C++. In addition, I learn and apply robotics software engineering algorithms such as localization, mapping, and navigation.


4 months to complete


To optimize your chances of success in the Robotics Software Engineer Nanodegree program, we’ve created a list of prerequisites and recommendations to prepare you for the program curriculum. See detailed requirements.

  • Introduction To RoboticsLearn the essential elements of robotics, meet your instructors and get familiar with the tools that will help you succeed in this program.
  • Gazebo WorldLearn how to simulate your first robotic environment with Gazebo, the most common simulation engine used by Roboticists around the world.BUILD MY WORLD
  • ROS EssentialsDiscover how ROS provides a flexible and unified software environment for developing robots in a modular and reusable manner. Learn how to manage existing ROS packages within a project, and how to write ROS Nodes of your own in C++.GO CHASE IT!
  • LocalizationLearn how Gaussian filters can be used to estimate noisy sensor readings, and how to estimate a robot’s position relative to a known map of the environment with Monte Carlo Localization (MCL).WHERE AM I?
  • Mapping and SLAMLearn how to create a Simultaneous Localization and Mapping (SLAM) implementation with ROS packages and C++. You’ll achieve this by combining mapping algorithms with what you learned in the localization lessons. MAP MY WORLD
  • Path Planning and NavigationLearn different Path Planning and Navigation algorithms. Then, combine SLAM and Navigation into a home service robot that can autonomously transport objects in your home! HOME SERVICE ROBOT


We recommend the Intro to Self-Driving Cars Nanodegree program. This program will teach you the skills you need to be successful in the Robotics Software Engineer Nanodegree program, including C++, linear algebra, calculus, and statistics.

Size: 4.30 GB

Download Course–nd209.


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