INTENSIVE TRAINING
Learn how to Build Robot Fleet Systems
3-day online training to help your team learn to integrate Open-RMF for robot fleet management
May 15 – 17, 2023
ZOOM Virtual Class + Practice with Real Robots

Learn Open-RMF in 3 days with this training
💭 THE PROBLEM: As the number of robots grows, it is challenging to coordinate & manage them in shared spaces
💡 THE SOLUTION: Use Open-RMF: An open-source fleet management system
👨💻 THE PLAN: Learn how to build robot fleet systems and integrate Open-RMF for robot fleet management from the ground up with our hands-on training. Our curriculum covers a wide range of topics, including:
- Vital ROS2 Humble knowledge
- Generates RMF-enabled Gazebo simulations
- ROS2 navigation
- Setting up a basic RMF system for multiple robot fleets
- Basic RMF task settings: go to a location, pick & deliver objects, and charge when the battery is low.
- Create custom robot fleet adapters.
- Use RMF API to define advanced tasks and behaviors.
- Docking the robots in RMF for battery charging
- Set up cleaning procedures in the RMF
- Integrate human-operated stations with RMF
- Integrate doors and lifts in RMF
- Integrate robotic arms and other processing workstations in RMF.
You will have the opportunity to work with real robots in our state-of-the-art lab, and get hands-on experience with Open-RMF.
Expert instruction from industry professionals
Hands-on experience with real robots
Exercises with simulated robots, working along with the instructors
Practice in an actual robot fleet application scenario – Starbots Coffee
Who is this training for?


Team leads who want to build scalable robotics products, faster


Engineers who want to build a multi-robot system


People who want to be ready for new robotics technologies
100% PRACTICAL
Learn by doing on real robots
Apply your learning to a real multi-robot scenario: Startbots Coffee.
Starbots Coffee is a smart cafeteria running with multiple robots. During this training, you can connect to it remotely to control a fleet of robots with RMF. The practice scenarios you will experience are the following:
Robotic arm pick & place coffee cups
Robot baristas work together to delivery coffee
Open & close doors in RMF
Starbots Coffee application website
Training Agenda
Day 1 sessions
→Live-4-hour theory where you will be taught:
- Quick overview of Navigation in ROS2 for multi-robot
- Basic structure of RMF
- How to connect Nav2-enabled robots to RMF system
- Different options for creating an RMF-enabled Gazebo simulation
- Introduction to basic RMF structures
→Guided exercises covering theory.
→Real robot working time where you will:
- Integrate Nav2 multi-robot navigation
- Create the RMF map of the real environment
- Integrate a basic RMF system for the real robot environment
Day 2 sessions
→Live-4-hour theory where you will be taught:
- Continue with basic RMF integration
- Navigation ROS2 enabled robot integration into RMF
- Default tasks for RMF
- Human interface for RMF
→Guided exercises covering theory.
→Real robot working time where you will:
- Continue integration of real robots into RMF
- Create the human interface integration for the real robot environment
- Integrate the Starbots cafeteria webpage for coffee.
Day 3 sessions
→Live-4-hour theory where you will be taught:
- How to integrate doors and lifts in RMF
- Introduction to custom robot adapters for RMF
→Guided exercises covering all the theory topics.
→Real robot working time where you will:
- Continue with the previous day’s project
- Add Docking integration
- Add robot arm integration
Training Curriculum
Chapter 1 - Introduction to RMF
Chapter 2 - Create an environment with RMF traffic editor and manually
Chapter 3 - Free Fleet - RMF WITH navigation TWO ROBOTS - SameFleet
Chapter 4 - Free Fleet - RMF WITH navigation THREE ROBOTS - TWO Fleets
Chapter 6 - Free Fleet - RMF WITH navigation TWO ROBOTS - SameFleet
Chapter 7 - Free Fleet – RMF WITH navigation THREE ROBOTS – TWO Fleets
Chapter 9 - Custom Fleet Adapter
Chapter 10 - Human interaction with RMF
Get certified
Your support team
We think you will be pleasantly surprised by the amount of support you have during the training.


Miguel Angel
Head of Research @ The Construct | Creator of over 10 ROS AI courses | Author of ROS IN 5 DAYS book collection


Alberto Ezquerro
Head of Education @ The Construct | Creator of over 30 ROS courses | Author of ROS IN 5 DAYS book collection


Ricardo Téllez
CEO @ The Construct | Teacher of Robotics at La Salle University and Universitat Politècnica de Catalunya


Rodrigo Gonzalez
Robotics Engineer @ The Construct | Leader of RoBox – 24/7 Remote Real Robot Lab
Testimonials
We Help You to Achieve Success


Perfection Went Above
A great training course and hands-on experience. I strongly recommend it to anyone who wants to learn ROS.


Brian L Merritt
Robotics Developer
A Hassle-Free Training
The training was focused on controlling real robots and not just in the simulation environment. I have upskilled with ROS! A huge thanks to The Construct for making the robotics learning hassle-free.


Ragesh Ramachandran
Robotics Researcher
Perfection Went Above
It was a lot of very useful knowledge and practice!


Robert Gruberski
Software Developer
Enroll now
Learn how to Build Robot Fleet Systems
Benefits you will receive with this training:
3 days of live training guided by ROS experts
20+ hands-on exercises with simulated robots
12 hours of practice in our Remote Real Robot Cafeteria
6 months of access to the Robot Fleet Management in ROS2 curriculum
Life-long access to the code developed during the training
Continuously updated course content
Fast support & guidance from instructors
Training Completion Certificate
Registration Fee
Standard |
€2,999 EUR/Person |
Early bird price before April 20, 2023 |
€2,399 EUR/Person |
WE ACCEPT
FAQ
Frequently Asked
+ What are the pre-requirements for this training?
Prerequisites Knowledge:
You require a basic knowledge of Linux, Python3 and ROS2. If you do not have this knowledge, prepare for the training using our online courses:
(*Please note that a majority of the courses are free; paid courses are not included in the tuition fee for this training).
Equipment:
- A laptop (you can use Windows, Linux, or macOS)
- Access to a large computer monitor, preferably two screens
- Fast internet connection
- Access to webcam and mouse
- Google Chrome or Firefox browser.
- It is not necessary to have Linux on your computer. Any operating system is valid.
+ What is the language used in training?
English
+ What is the programming language used for the course?
Python in Linux
+ Do I need to install ROS in advance?
No. You only need to bring your laptop and connect to the internet. You can use Windows, Linux, or macOS.


“A training that far exceeded my expectations and answered a lot of my questions on Open-RMF!”
Pi Thanacha Choopojcharoen
Project Director & Co-founder – CoXsys Robotics Co., Ltd.