Study 10-15 hrs/week and complete in 4 mo.
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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.
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 interactive projects using C++ and ROS, and use them to demonstrate your skills in probabilistic robotics algorithms to recruiters and hiring managers.
Advance quickly and successfully through the curriculum with the support of qualified reviewers whose detailed feedback will ensure you learn skills the right way.
Our experts will review your LinkedIn and GitHub profiles, and help prepare you for successful interviews for robotics jobs.
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.This program was built in collaboration with robotics engineers to ensure you learn the right skills necessary to succeed.
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.Create your professional portfolio with Udacity and open up a world of opportunities.
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.Work with experienced career professionals for tailored advice on how to improve your search and impress recruiters.
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!The Udacity Alumni Network is here for you!
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.
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 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.
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.
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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.
Learn the essential elements of robotics, meet your instructors, and get familiar with the tools that will help you succeed in this program.
Learn how to simulate your first robotic environment with Gazebo, the most common simulation engine used by Roboticists around the world.Build My World
Discover 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!
Learn 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?
Learn 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
Learn 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
Learn core robotics algorithms and implement them with C++, ROS, and Gazebo.
Demand for software engineers with advanced robotics skills far exceeds the current supply of qualified talent. This makes this an ideal time to pursue career advancement in this field, and this program represents a great opportunity to develop and practice core robotics skills such as C++, ROS, and probabilistic robotics algorithms such as Localization, Mapping, SLAM, Path Planning and Navigation.
You will graduate from this Nanodegree program having completed five hands-on robotics projects in the Gazebo simulator; these will serve as portfolio pieces demonstrating your acquired skills to hiring managers and recruiters. These skills will help you pursue and advance a career in the robotics field.
As a Robotics Software Engineer, you'll be equipped to bring value to a wide array of industries and be eligible for many roles.
Your opportunities might include:
The Robotics Software Engineer Nanodegree program is designed for those looking to pursue or advance a career in the robotics field. In this program, you will learn and practice the core robotics skills that employers have told us serve as the foundation for the work robotics engineers do: C++, ROS, Gazebo, and robotics algorithms such as Localization, Mapping, SLAM, Path Planning, and Navigation amongst others.
If you want to work in a field where you get to see your solutions come to life, and solve some of the world’s most difficult and exciting problems, the Robotics Software Engineer Nanodegree program is right for you.
The Robotics Software Engineer Nanodegree program focuses on teaching the core robotics skills needed for a successful robotics software engineering career. The program focuses on Localization, Mapping, SLAM, Path Planning, and Navigation. These are taught using C++ and the Robot Operating System (ROS) framework.
The Self-Driving Car Engineer Nanodegree program focuses entirely on a specialized application of robotics—it uses robotics concepts and applies them to a self-driving car. If your primary interest is in the application of robotics, machine learning, and artificial intelligence to autonomous vehicles, then this is the program for you. However, if you want to learn and practice core robotics skills in C++ and ROS, with an emphasis on robotics algorithms, then the Robotics Software Engineer Nanodegree program is your best option.
No. This Nanodegree program does not require an application.
To succeed in this Nanodegree program, you should have experience with the following:
We created the Intro to Self-Driving Cars Nanodegree program to help prepare prospective students for more advanced programs. That introductory 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.
The program is comprised of one (1) term of four (4) months with fixed start and end dates. Students must successfully complete all assigned projects by the end date to graduate from the Nanodegree program. There are five projects in the Term, which give you an opportunity to apply the skills you've learned.
To graduate, students must successfully complete the required projects, which give you the opportunity to apply and demonstrate new skills that you learn in the lessons. Each project will be reviewed by the Udacity reviewer network and platform. Detailed and actionable feedback will be provided. If you do not pass the project, you will be asked to resubmit the project until it passes.
Access to this Nanodegree program runs for the period noted in the Term length section above.
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
The full program consists of one 4-month long Term at a cost of USD $999. Payment is due before the term begins.
Both our Self-Driving Car Engineer and Flying Car and Autonomous Flight Engineer Nanodegree programs address specific areas of robotics and autonomous systems. If you want to continue your education either on the ground or in the air, take one of these exciting Nanodegree programs next!
For this Nanodegree program, you will use the Robot Operating System (ROS) and Gazebo. You will code primarily with C++. These platforms and languages are freely available.
We will provide you with a GPU-enabled Linux Workspace that runs in your browser, and an internet connection is required. Optionally, you can install the Linux image on a Virtual Machine.
The core of this Nanodegree program focuses on robotics applications in software. You will learn and practice robotics skills using the Gazebo simulator.