ROBOTICS SOFTWARE ENGINEERBuild five hands-on projects to acquire core robotics software engineering skills: ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.
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- Path Planning
Make sure to set aside adequate time on your calendar for focused work. In order to succeed, we recommend having experience with:
● Advanced knowledge in any object-oriented programming language, preferably C++
● Intermediate Probability
● Intermediate Calculus
● Intermediate Linear Algebra
● Basic Linux Command Lines
This program will teach you:
● the software fundamentals to work on robotics using C++, ROS, and Gazebo
● how to build autonomous robotics projects in a Gazebo simulation environment
● probabilistic robotics, including Localization, Mapping, SLAM, Navigation, and Path Planning.
This program is comprised of 6 courses and 5 projects. Each project you build will be an opportunity to demonstrate what you’ve learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in C++, ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.
Depending on how quickly you work through the material, the amount of time required is variable. We have included an hourly estimate for each section of the program. If you spend about 10 hours per week working through the program, you should finish in 14 weeks (approximately 4 months).
Length of Program: 150 Hours*
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.
Job openings for robotics software engineers grew over 50% from 2017 to 2018Learn 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 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
Advance quickly and successfully through the curriculum with the support of qualified reviewers whose detailed feedback will ensure you learn skills the right way.
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.
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.
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, learn and apply robotics software engineering algorithms such as localization, mapping, and navigation
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 Robotics
Learn the essential elements of robotics, meet your instructors, and get familiar with the tools that will help you succeed in this program.
- Gazebo World
Learn how to simulate your first robotic environment with Gazebo, the most common simulation engine used by Roboticists around the world.
- ROS Essentials
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++.
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).
- Mapping and SLAM
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.
- Path Planning and Navigation
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!
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