Udacity Robotics Nanodegree review 2026: Is it worth learning Robotics from Udacity

Written by Akshay Vikhe. Last updated: 13 October 2026 (full refresh: curriculum, projects, prerequisites, prices and reviews re-checked on Udacity’s nd209 program page that day). Reviewed by the OnlineCourseing editorial team. See our review methodology.

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Udacity’s Robotics Software Engineer Nanodegree (program key nd209) teaches the software side of mobile robotics: simulating a robot and its world in Gazebo, programming it with the Robot Operating System (ROS) and C++, and giving it the ability to locate itself, map an unknown space and plan a path through it. On 13 October 2026, Udacity’s page listed it as Advanced, 81 hours, 7 courses, 24 lessons and 5 projects, with a 4.6 rating from 331 reviews. Udacity last updated it on 14 October 2025.

We gathered the graduate reviews below when this page was first written, and we have rewritten everything else to match the current program. One point matters more than any other for anyone enrolling in 2026: the program is built on ROS 1 tooling, and ROS 1 is no longer supported. We explain what that means in practice further down.

Reviews of Udacity Robotics Software Engineer Nanodegree Graduates

These graduates took the program between 2019 and 2020. Their project lists match the five projects in the current outline, so their comments on workload and content still apply.

As we move in the direction of Industry 4.0, being able to automate conventional processes is a skill I know I will be able to build after completing this comprehensive course, which helped me with the software fundamentals to work on robotics using C++, ROS, and Gazebo, and probabilistic robotics, including Localization, Mapping, SLAM, Navigation, and Path Planning.

Bharat Deshkulkarni, research assistant at the University of Southern California, via LinkedIn, rated it 5/5

A nice journey of 4 months, weekend studies, where my knowledge and practical experience grew in ROS, SLAM (EKF, AMCL, Grid-based FastSLAM, GraphSLAM) and path planning and navigation (classic, sample-based and probabilistic path planning). The final project was a Home Service Robot: using ROS, C++ and catkin packages on my own designed robot to do SLAM and path planning within my environment in Gazebo.

Bishoy Saber Saied, functional safety and embedded systems engineer, via LinkedIn, rated it 4/5

It was a great experience learning from such good mentors like Karim Chamaa and Julia Chernushevich; their knowledge really helped me go through this journey smoothly. During this Nanodegree I worked on 5 real-world projects: Build My World, Go Chase It!, Where Am I?, Map My World, Home Service Robot.

Khaled Gabr, software robotics engineer, rated it 5/5

This degree covered C++, ROS, Gazebo, Rviz, Localization (EKF and MCL), Mapping and SLAM (Occupancy Grid Mapping, FastSLAM, GraphSLAM), Path Planning (BFS, A*, RRT) in Ubuntu Xenial. The hands-on projects like Map My World and Home Service were challenging and also fun to complete.

Darshan Shah, JCB India, via LinkedIn, rated it 4/5

Improvement Reviews

I did learn some things, and for the most part I enjoyed the four projects required to complete this term. However, because I am not very wealthy, I don’t think it is worth 1,200 USD or even 1,000 USD. In my country, you can get two semesters’ worth of subjects for that price.

Mithi, in a review on Medium of the original term-based program, rated it 2/5

Price is still the most common complaint, although the subscription now changes the math: at $249 a month, a learner who finishes in three months pays about $750. The newer complaints are about the software. A 2023 reviewer on Udacity’s page gave two stars and wrote that the theory deserves a very good rating but the practical part is held back by an outdated environment (Ubuntu 16 and ROS Kinetic), packages that no longer install, and a laggy browser workspace that sometimes loses progress. Their advice was to take the theory from Udacity and practice ROS somewhere with a current environment. Other recent reviews are positive: “clear to understand about the ROS software” (May 2026, five stars) and “helpful explanations for complex algorithms like Monte-Carlo, SLAM” with “very detailed guidelines for the practical and interesting projects” (March 2024, five stars).

Across all of Udacity, Trustpilot showed 4.5 from 3,406 reviews on 13 October 2026.

Overview

A robotics software engineer writes the code that lets a robot perceive its surroundings, work out where it is, decide where to go and move there safely. The work sits between mechanical engineering and software engineering, and most of it happens in simulation before it ever reaches hardware.

This Nanodegree follows that workflow. You build a simulated world, put a robot in it, program the robot with ROS nodes written in C++, and then add the three capabilities that make a mobile robot autonomous: localization (knowing where it is on a known map), mapping and SLAM (building a map while locating itself in it), and path planning and navigation (getting from A to B around obstacles). The last project combines all three in a home service robot that picks up and delivers an object on its own.

Source: Udacity’s nd209 program page, read 13 October 2026.

About the Udacity Robotics Software Engineer Nanodegree

Udacity’s original Robotics Nanodegree ran in fixed terms from 2017; the current Robotics Software Engineer Nanodegree is self-paced and focuses on software for wheeled mobile robots, with robot arms only in the optional KUKA project. Its strength is probabilistic robotics: the Kalman filters, particle filters and SLAM algorithms that Sebastian Thrun co-wrote the standard textbook on.

The ROS 1 problem, in plain terms

ROS, the Robot Operating System, is the open-source framework most robotics teams use to connect sensors, algorithms and motors. It comes in two generations. ROS 1’s last release, Noetic, reached end of life on 31 May 2025, according to ROS.org, and the ROS 1 wiki has become an archive. ROS 2 is the supported generation; its newest release, Lyrical Luth, came out in May 2026.

Udacity’s outline for this Nanodegree still includes a lesson on Packages and Catkin Workspaces, and lists the gmapping and AMCL ROS packages among its skills. Catkin is the ROS 1 build system, so these are ROS 1 lessons. A 2023 reviewer reported the course environment running Ubuntu 16 with ROS Kinetic, a ROS 1 release that reached end of life in April 2021. Udacity’s page does not say whether the workspace has been upgraded since its October 2025 update, so ask support before you enroll.

Does this make the program useless? No. The algorithms (Kalman filters, Monte Carlo localization, occupancy grid mapping, GraphSLAM, A* and sampling-based planners) are the same in ROS 2, and the concepts of nodes, topics and launch files carry over. It does mean you will have to learn ROS 2’s build tools and APIs before you can apply the projects in a current job, and you should expect some time fighting old packages during the course.

Check the program page on Udacity →

Job Scenario

Robotics software engineers work at robot makers, warehouse and logistics automation companies, autonomous vehicle and drone firms, agricultural and medical robotics startups, and research labs. The U.S. Bureau of Labor Statistics does not count robotics software engineers separately; most fall under software developers, whose median pay was $135,980 in May 2025. Udacity’s page shows higher salary bands for this role, labeled as estimates from public market data without a named source, so we do not repeat them.

Job postings in robotics software typically ask for C++ and Python, ROS (increasingly ROS 2), Linux, and experience with real hardware or a simulator, often alongside a degree in robotics, computer science, mechanical or electrical engineering. A Nanodegree can show you have the skills; it rarely substitutes for the degree or for experience on a physical robot. Earlier versions of this page quoted an unsourced average salary; we have replaced it with the BLS figure above.

Costs and Duration of the Udacity Robotics Software Engineer Nanodegree

Udacity sells access by subscription. On 13 October 2026 its plan card offered:

Udacity estimates 81 hours. The graduates above took about four months of weekend study, which matches roughly 5 to 6 hours a week plus project time. Someone studying 10 hours a week can finish in two to three months. The older prices quoted on this page before this update no longer apply. Udacity’s Terms of Use (updated 16 January 2026) give seven days from your first purchase to cancel for a full refund.

Check the current Robotics Nanodegree price →

Prerequisite of the Udacity Robotics Software Engineer Nanodegree

Udacity lists five prerequisites: basic C++, linear algebra, basic descriptive statistics, basic calculus and familiarity with lidar. Two more are unstated but essential: comfort on the Linux command line, because ROS runs on Linux, and some patience with installing and debugging software.

Quick self-check. You are ready if you can:

1. Write a C++ class, compile it with a build tool and fix the compiler errors yourself.
2. Navigate directories, edit files and run programs from a Linux terminal.
3. Multiply matrices and explain what a Gaussian (normal) distribution is.
4. Explain in a sentence what a lidar sensor measures.

If C++ is the gap, take the Udacity C++ Nanodegree first (42 hours, rated 4.6 from 812 reviews); our C++ Nanodegree review covers it. If the math is the gap, the Introduction to Self-Driving Cars Nanodegree teaches probability and C++ in a robotics context; see our Intro to Self-Driving Cars review.

Syllabus of the Udacity Robotics Software Engineer Nanodegree

These are the current courses, lessons and projects from Udacity’s outline on 13 October 2026.

Course 1: Introduction to Robotics

What a robot is, how the program works, how to get help, and getting your tools set up. Short, but do not skip the setup: most later frustration comes from the environment.

Course 2: Gazebo World

Gazebo basics: building a simulated environment and placing models in it. Project 1, Build a Gazebo Robot World: design a Gazebo world with several models that becomes the base for every later project.

Course 3: ROS Essentials

Introduction to ROS, packages and catkin workspaces, and writing ROS nodes in C++. Project 2, Program a Ball-Chasing Robot (Go Chase It!): design a mobile robot, place it in your world, and write C++ ROS nodes for drive control and color detection so it chases white balls.

Course 4: Localization

Why localization is hard, Kalman filters with a lab, Monte Carlo localization (MCL) and building MCL in C++. Project 3, Robot Localization with AMCL (Where Am I?): tune particle filters and laser data in ROS so the robot can pinpoint its position on a known map.

Course 5: Mapping and SLAM

Occupancy grid mapping, grid-based FastSLAM and GraphSLAM. Project 4, SLAM Mapping with RTAB-Map (Map My World): generate 2D occupancy grids and 3D point cloud maps of your world while evaluating loop closure quality.

Course 6: Path Planning and Navigation

Classic path planning (breadth-first search, A*), a planning lab, and sample-based and probabilistic planners. Project 5, Autonomous Home Service Robot: combine mapping, localization and path planning so a robot picks up and delivers objects on its own.

Course 7: Optional KUKA Path Planning Project

An optional project to plan a path through a maze for an industrial KUKA arm, which Udacity describes as running your code on real hardware.

One correction to our previous version: the ball-chasing robot chases white balls, not yellow ones, in Udacity’s current description.

See the five Robotics projects on Udacity →

Pros and Cons of the Udacity Robotics Software Engineer Nanodegree:

Pros

• Five connected projects that build into one autonomous home service robot
• Strong teaching on probabilistic robotics: Kalman filters, MCL, FastSLAM, GraphSLAM
• Real C++ practice inside ROS, which is how robotics software is written
• Graduates consistently rate the projects highly (4.6 from 331 reviews)
• Self-paced, so a fast learner pays for fewer months

Cons

• Built on ROS 1 tooling (catkin, gmapping), and ROS 1 reached end of life on 31 May 2025
• Recent reports of an outdated environment, broken packages and a laggy workspace
• Simulation only, apart from the optional KUKA project
• Not for beginners: needs C++, Linux and math first
• Not accredited, and no published job placement data

Nanodegree Certificate of Udacity Robotics Software Engineer Nanodegree

When you pass all five required projects you receive a Udacity Robotics Software Engineer Nanodegree certificate, which you can download from your account and link from LinkedIn. It is not accredited by a university. Its value comes from the projects behind it, so publish each one on GitHub with a short video of the robot working in Gazebo and RViz. Recruiters in robotics will watch a 30-second clip of your home service robot before they read a certificate.

Some Advance features you get with Udacity

• Project reviews: every project is graded against a rubric by a human reviewer, with line-level feedback; you can resubmit until it passes.
• Career coaching and interview prep: listed on Udacity’s plan card on 13 October 2026.
• Browser workspaces: a preconfigured Linux and ROS environment in the browser, so you do not need a Linux machine. Recent reviewers say it can lag, so many learners install ROS locally instead.
• The whole catalog: the subscription also opens Udacity’s Self-Driving Car Engineer, Sensor Fusion and C++ programs.
• A certificate for each completed program.

Earlier versions of this page promised a personal mentor who guides you through the program and reviews your projects. Udacity’s current plan card does not list mentors, so plan to rely on project reviews and your own debugging instead.

About Instructors

• Sebastian Thrun: Udacity’s founder, former leader of Google’s self-driving car project and co-author of Probabilistic Robotics, the standard textbook on the localization and SLAM methods this program teaches.
• David Silver: curriculum lead for Udacity’s autonomous systems programs.
• Karim Chamaa: mechatronics and robotics engineer, praised by name by the graduates above.
• Julia Chernushevich: robotics specialist, also singled out by graduates.

Instructor list from Udacity’s nd209 page on 13 October 2026.

Is Udacity Robotics Software Engineer Nanodegree Worth it?

For an engineer who already knows C++ and wants a guided, reviewed path through mobile-robot software, yes, with a caveat. The project sequence is still one of the best structured introductions to localization, SLAM and planning available online, and graduates from every year rate it highly.

The caveat is the stack. You will be learning ROS 1 tools in an industry that has moved to ROS 2, possibly in an outdated environment. Treat the Nanodegree as the place to learn the algorithms and build a portfolio, then spend a few weeks porting one project to ROS 2 with the free official tutorials. That combination is worth more to an employer than either part alone.

If you only want the theory, the Modern Robotics Specialization on Coursera is cheaper and more mathematical. If you need ROS 2 specifically, a ROS 2 course will serve you better. Our rating is 3.5 out of 5.

Enroll in the Robotics Software Engineer Nanodegree →

Frequently asked questions

Is the Udacity Robotics Software Engineer Nanodegree worth it?

It is worth it for engineers who already know C++ and want a structured, reviewed set of five ROS projects covering simulation, localization, SLAM and path planning. It is less worth it than it was, because the program teaches ROS 1 tools (catkin workspaces, gmapping, AMCL) and ROS 1 reached end of life on 31 May 2025. Most new robotics work uses ROS 2, so plan to learn ROS 2 afterward.

Does the Udacity Robotics Nanodegree use ROS 1 or ROS 2?

Udacity’s public outline does not state the version, but its lessons are built on ROS 1 tooling: a lesson on Packages and Catkin Workspaces, and skills listed as the gmapping and AMCL ROS packages. A 2023 reviewer on Udacity’s page reported that the course environment used Ubuntu 16 and ROS Kinetic, and a graduate quoted on this page also built the projects on Ubuntu Xenial (16.04). Confirm the current version with Udacity before you enroll.

What background do you need?

Udacity lists basic C++, linear algebra, basic descriptive statistics, basic calculus and familiarity with lidar. In practice you also need to be comfortable on the Linux command line. If your C++ is weak, take Udacity’s C++ Nanodegree (42 hours) first.

How much does it cost?

On 13 October 2026, Udacity’s plan card showed $249 a month, $846 for four months (about $212 a month) or $999 to buy a single program, with a 40% discount banner for new members. Older per-program prices quoted in reviews are out of date.

How long does it take?

Udacity estimates 81 hours. At 10 hours a week that is about two months of lessons plus time for five project reviews, so most working learners need three to four months. Graduates quoted on this page took about four months of weekend study.

What does it cover?

Gazebo simulation, ROS essentials (nodes, packages, workspaces), localization with Kalman filters and Monte Carlo localization, mapping and SLAM (occupancy grids, FastSLAM, GraphSLAM, RTAB-Map), and path planning and navigation, ending in a home service robot that maps, localizes and delivers objects in simulation.

Is the Udacity robotics certificate accredited?

No. It is a Udacity certificate, not a university credential. Employers in robotics look mainly at what you built, so publish your five projects with videos of the robot running.

What are good alternatives?

For theory, the Modern Robotics Specialization from Northwestern University on Coursera (6 courses, about 4 months at 10 hours a week, rated 4.7 from 1,256 reviews on 13 October 2026). For current ROS 2 practice, the official ROS 2 tutorials are free, and The Construct offers browser workspaces for ROS 2, Gazebo and Isaac Lab.

Alternatives to the Udacity Robotics Nanodegree

Coursera figures from the specialization page on 13 October 2026; the Coursera link is an affiliate link. The ROS tutorials and The Construct pay us nothing. A 2023 reviewer on Udacity’s page recommended Udacity’s free Artificial Intelligence for Robotics course for theory; that course is no longer available, and its address now redirects to Udacity’s AI school page.

A 12-Week Study Plan

This assumes about 8 hours a week. The last two weeks are our addition, not Udacity’s, and they address the program’s biggest gap.

Running the Projects on Your Own Machine

Because recent reviewers describe the browser workspace as laggy and sometimes losing progress, many learners run the projects locally. Three practical points before you start:

1. Match the ROS 1 setup the course expects. The lessons assume ROS 1 with catkin. The last ROS 1 release, Noetic, runs on Ubuntu 20.04, and it can still be installed even though it no longer receives updates. Running it inside a container or virtual machine keeps it away from your main system.
2. Expect some package substitutions. The 2023 reviewer on Udacity’s page found that several packages the course relies on no longer install cleanly. Search the package name plus your ROS version before assuming your code is wrong, and note each substitution in your project README so the reviewer understands your setup.
3. Keep Gazebo and RViz recordings. Screen-record each project as it runs. The recordings help the project reviewer, and they become the demo videos for your portfolio.

When you finish, repeat the ball-chasing project in ROS 2 using the official tutorials. It is small enough to port in a weekend and teaches the differences in nodes, launch files and the colcon build tool that ROS 2 uses instead of catkin.

Who Should Take It, and Who Should Skip It

Take it if you

• Already write C++ and want to move into robotics software
• Learn best by building and want five connected, reviewed projects
• Want a clear grounding in localization, SLAM and planning algorithms before learning ROS 2
• Are a mechanical or electrical engineer who needs the software side of mobile robots

Skip it if you

• Need ROS 2 for a current job: go straight to ROS 2 material
• Have never programmed in C++ or used Linux: start with the C++ Nanodegree
• Want robot arms, manipulation or humanoids: the core program is about wheeled mobile robots
• Only want the math: the Modern Robotics Specialization covers it in more depth for less

Related Udacity Guides: Every Udacity Nanodegree in 2026 (Hub) | Udacity Self-Driving Car Engineer Review | Udacity C++ Nanodegree Review | Udacity Artificial Intelligence Nanodegree Review | Best Udacity Courses

Related: for the platform-wide verdict, read our complete Udacity Nanodegree review (2026). How we review courses · About OnlineCourseing.

Related guide: best self-driving car courses (Coursera, Udacity and Udemy compared).