Robotics Software Engineer

Online Course

Udacity
Robotics Software Engineer

What is the course about?

Robotics Software Engineer
The course Robotics Software Engineer is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.
Build hands-on projects to acquire core robotics software engineering skills: ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.
Course description
  • Robotics Software Engineer
  • 4 Months (10-15 hrs/week)
  • 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.
  • Program robots using ROS, C++, and the robotics algorithms that you’ll learn in this program.
  • 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.
  • 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).
  • 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.
  • 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!
  • The Intro to Self-Driving Cars Nanodegree 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 Intro to Self-Driving Cars Nanodegree 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.
  • 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.
  • Build My 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++.
  • Go Chase It!
  • Localization
  • 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?
  • 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.
  • Map My World
  • 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.
  • 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.
  • How is the Robotics Software Engineer Nanodegree program different from your Machine Learning Engineer Nanodegree program or your Self-Driving Car Engineer Nanodegree program?
  • 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.
  • I have graduated from the Robotics Software Engineer Nanodegree program but I want to keep learning. Where should I go from here?
  • 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!

Prerequisites & Facts

Robotics Software Engineer

Course Topic

Computer Science, Robotics

University, College, Institution

Udacity

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Robotics Software Engineer

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Robotics Software Engineer
provided by Udacity

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School: Udacity
Topic: Computer Science, Robotics
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