Hands-on Training
Unitree G1 Humanoid Robots Reinforcement Learning
Training
Master Programming Reinforcement Learning for Humanoid Robots in 3 Days
On-site Training in Barcelona
April 8 - 10, 2026
Join Over 10,000+ Engineers & Learn Robotics Here
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Training Details
This training focuses on reinforcement learning for humanoid robots, combining advanced simulation with real-world deployment. You will learn how to train and validate RL-based control policies and apply them to real humanoid robots.
This training is organized by
in cooperation with
PAL Robotics
Dates
April 8 – 10, 2026
Time
9:00 – 17:00 CET
Central European Time
Location
On-site in Barcelona
SEATS
Limited to
50 participants
What You Will Learn:
-
Reinforcement learning–based walking control for the G1 humanoid robot
-
Teleoperation and imitation learning for the G1 humanoid robot using Isaac Lab Mimic
-
Full-body humanoid control from motion tracking with reinforcement learning
-
How to apply whole-body control policies using
ros2_control -
Vision-Language-Action (VLA) models for generalized humanoid robot skills with Gr00t
-
How to train humanoid robots using reinforcement learning with MuJoCo Lab
-
Two real humanoid robots: Unitree’s G1 and PAL Robotics’ Kangaroo
Training Highlights
Practical Experience
Work hands-on with real Unitree G1 Humanoid robot to solidify your learning.
Expert Guidance
Learn from experienced robotics developers with a proven track record.
Certificate of Completion
Earn a certification recognizing your proficiency in Humanoid Robot System.
On-site Training in Barcelona
Master humanoid robot reinforcement learning—hands-on training with real robots,
real intelligence, in vibrant Barcelona.
Practical Sessions with
Two Real Humanoid Robots
Schedule
RL for Humanoid Walking Controllers & Teleoperation
-
G1 humanoid robot walking control based on reinforcement learning
-
G1 humanoid robot teleoperation and imitation learning with Isaac Lab Mimic
RL for Humanoid Whole Body Control
-
Full body control from motion tracking using reinforcement learning
- How to apply whole body policies using ros2_control
DAY 3
VLAs for Humanoids and MuJoCo Lab
-
VLA models for generalized humanoid robot skills using Gr00t
Certificate
Upon completing this training, The Construct grants participants a shareable certificate of completion. This training is graded as a pass or fail; participants must receive 75% to pass and obtain the training completion certificate.
The Construct team is waiting for you in Barcelona!
Testimonials
Enroll now
Humanoid Robots RL Training
Next Training:
Dates:
April 8 – 10, 2026
Time
9:00 – 17:00 Central European Time (CET)
Location:
On-Site Classes in Barcelona
Seats
Limited to 50 participants
Pricing
-
Early Bird Price: €1,999 per person (Registration Deadline: February 28, 2026)
-
Standard Price: €2,499 per person (Registration Deadline: March 30, 2026)
Prerequisite Knowledge: Linux, Python, C++ and ROS 2
You require a basic knowledge of Linux, Python, C++ and ROS 2, and be familiar with DDS. If you do not have this knowledge, you can use our online courses: (*Please note that completing these courses is optional, and you may use any other learning resources. Paid courses are not included in the training fee and cannot be accessed for free.)
- Linux for Robotics (Free)
- Python3 for Robotics (Free)
- Advanced Modern C++ for Robotics
- ROS 2 Basics
- DDS for Robotics
IMPORTANT! Do not enroll in this training if you are not comfortable with ROS 2. This training is not appropriate for individuals with ROS 1 knowledge only.
Equipment You Will Need:
- Computer: Linux, macOS, or Windows – all are fine
- Browser: Google Chrome or Firefox
- Software: No installation required in advance
- Optional Accessories: Mouse, keyboard, or other peripherals as preferred
Refund Policy
Participant Cancellation
- Cancellations made more than 10 business days before the start of the training are eligible for a full refund.
- Cancellations made less than 10 business days of the training start date will incur a 50% cancellation fee.
- No-shows or cancellations not communicated in advance will be charged the full training fee.
- Participants who cancel their registration for a scheduled training session will not be eligible to participate in subsequent training sessions.
Training Provider Cancellation
- In the event that the training is canceled by the provider, a full refund of any fees paid will be issued.
Minimum Enrollment Requirement
- This training requires a minimum of 20 participants to proceed. If this number is not met, The Construct Robotics Institute reserves the right to cancel.
- In such cases, at least 10 days’ notice will be given to all registered participants, and full refunds will be provided.
Fee Includes:
3 days of live training guided by robotics experts
Two real humanoid robots: Unitree's G1 and PAL Robotics’ Kangaroo
Many Hands-on Exercises with Simulated Robots
15 days of access to the course content
Lifetime Access to the Code Developed During the Training
Fast Support & Guidance from Instructors
Training Completion Certificate
Lunches included
Coffee breaks
If you have any questions, email us at info@theconstruct.ai
FAQ
Frequently Asked
+ What is the language used in training?
English
+ What are the prerequisites for this training?
Prerequisites Knowledge:
You require a basic knowledge of Linux, Python, C++, ROS 2, and be familiar with DDS. If you do not have this knowledge, prepare for the training using our online courses:
(*Please note that most of the courses are free; paid courses are not included in the tuition fee for this training).
- Linux for Robotics (Free)
- Python3 for Robotics (Free)
- Advanced Modern C++ for Robotics
- ROS 2 Basics
- DDS for Robotics
IMPORTANT! Only enroll in this training if you are comfortable with ROS2. This training is not
appropriate for individuals with ROS1 knowledge only.
Equipment:
- A laptop (you can use Windows, Linux, or macOS)
- Google Chrome or Firefox browser.
- It is not necessary to have Linux on your computer. Any operating system is valid.
+ Do I need to install ROS in advance?
No. You only need to bring your laptop and don’t need to have ROS installed. You can use Windows, Linux, or macOS.
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