Robotics Software Engineer

Welcome

In this first lesson, you'll meet your instructors, learn about the structure of this program, and see the services available to you as a student.

What is a Robot?

Learn the essential element of robotics.

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Getting Started

Get started by exploring the Udacity Workspace, optionally installing a Virtual Machine, and learning prep materials to help you succeed in this program.

Introduction to ROS

Obtain an architectural overview of the Robot Operating System Framework and setup your own ROS environment in the Udacity Workspace.

Packages & Catkin Workspaces

Learn about ROS workspace structure, essential command line utilities, and how to manage software packages within a project. Harnessing these will be key to building shippable software using ROS.

Write ROS Nodes

ROS Nodes are a key abstraction that allows a robot system to be built modularly. In this lesson, you'll learn how to write them using C++.

Project: Go Chase It!

Design and build a mobile robot, and house it in your world. Then, program your robot with C++ nodes in ROS to chase white colored balls!

Introduction to Localization

Introduction to the localization concept and the algorithms

Kalman Filters

Learn the Kalman Filter and Extended Kalman Filter Gaussian estimation algorithms.

Lab: Kalman Filters

Learn how to apply an EKF ROS package to a robot to estimate its pose.

Monte Carlo Localization

Learn the Monte Carlo Localization algorithm which uses particle filters to estimate a robot's pose.

Build MCL in C++

Learn how to code the Monte Carlo Localization algorithm in C++.

Where Am I?

Use the Adaptive Monte Carlo Localization algorithm in ROS to localize your robot!

Introduction to Mapping and SLAM

Introduction to the Mapping and SLAM concepts, as well as the algorithms.

Occupancy Grid Mapping

Learn how to map an environment with the Occupancy Grid Mapping algorithm.

Grid-based FastSLAM

Learn how to simultaneously map an environment and localize a robot relative to the map with the Grid-based FastSLAM algorithm.

GraphSLAM

Learn how to simultaneously map an environment and localize a robot relative to the map with the GraphSLAM algorithm.

Map My World

Deploy RTAB-Map on your simulated robot to create 2D and 3D maps of your environment!

Intro to Path Planning and Navigation

Learn what the lessons in Path Planning and Navigation will cover.

Classic Path Planning

Learn a number of classic path planning approaches that can be applied to low-dimensional robotic systems.

Lab: Path Planning

Learn to code the BFS and A* algorithms in C++.

Sample-Based and Probabilistic Path Planning

Learn about sample-based and probabilistic path planning and how they can improve on the classic approach.

Home Service Robot

Program a home service robot that will autonomously map an environment and navigate to pickup and deliver objects!

Gazebo Basics

Learn how to simulate your first robot in Gazebo and interact with its world using a Plugin.

Project: Build My World

In this project, you will design a Gazebo World environment by including multiple models and use it as a base for all your upcoming projects.

Project Introduction

Plan a path through a maze for an industrial Kuka Manipulator Arm, then watch your code run on real hardware!

Project Details

Helpful instruction to help you get started with the project

Career Support Overview

As you learn the skills you’ll need in order to work in the robotics industry, you’ll see Career Lessons and Projects that will help you improve your online professional profiles.

Take 30 Min to Improve your LinkedIn

Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.

Optimize Your GitHub Profile

Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.

Autonomous Systems Interview Practice

Start off with some tips on interviewing for an autonomous systems role, then watch how candidates approach their interview questions. Finish off by practicing some questions of your own!