Hands-on Training
Humanoid Robot Reinforcement Learning Bootcamp
From Zero Setup to Real Humanoid Demo in 3 Days
In collaboration with PAL Robotics
April 8 – 10, 2026 • Barcelona
Limited to 50 Participants
Entering Humanoid Robotics Shouldn’t Take Months.
Yet for many labs and engineering teams, it does.
ROS configuration is complex.
Sim2Real pipelines are fragile.
Internal exploration drags on.
This bootcamp was built to change that.
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
You will work through a full humanoid robotics pipeline, starting from low-level robot access and ending with learned control policies running on physical humanoid robots.
During the training, you will:
- Use a Unitree G1 EDU development PC and Unitree’s SDK to command, monitor, and control the robot at a low level
- Build and train reinforcement learning policies for humanoid locomotion and motion control in simulation
- Deploy learned policies on real humanoid robots
The training combines high-fidelity simulation, real robot execution, and hands-on debugging of simulation-to-real gaps that commonly appear in humanoid systems.
This bootcamp is ideal for teams who:
✔ Are exploring entry into humanoid robotics
✔ Need to quickly build internal humanoid demos
✔ Want to understand real deployment constraints
✔ Are evaluating humanoid platforms for research or R&D
Humanoid Platforms Used in the Training
Unitree G1 Edu
Developed by Unitree
Physical Robot
Kangaroo
Developed by PAL Robotics
Physical Robot
Training Highlights
Practical Experience
Hands-on sessions with real humanoid robots, guided by instructors.
Expert Guidance
Learn from experienced robotics developers actively working on humanoid systems.
Certificate of Completion
Earn a shareable certificate recognizing your proficiency in humanoid reinforcement learning.
Training Schedule
🗓 Day 1 — RL for Humanoid Locomotion and Teleoperation
WEDNESDAY, APRIL 8
Focus: Learning-based motion at the locomotion level
You will work on:
-
Reinforcement learning based walking control for the Unitree G1 humanoid robot using Isaac Lab
-
Teleoperation and imitation learning using Isaac Lab Mimic
➡️ Outcome: You will train and evaluate your first stable humanoid locomotion policies in simulation and understand how they translate to real hardware.
🗓 Day 2 — RL for Humanoid Whole-Body Control
THURSDAY, APRIL 9
Focus: From locomotion to full-body coordination
You will work on:
-
Full-body control from motion tracking using reinforcement learning
-
Deployment of learned policies to the robots
➡️ Outcome: You will run whole-body reinforcement learning policies on real humanoid robots and understand the system-level integration required for stability and safety.
🗓 Day 3 — Vision-Language-Action Models and MuJoCo Lab
FRIDAY, APRIL 10
Focus: Generalization and research-level experimentation
You will work on:
-
Vision-Language-Action models for generalized humanoid skills using Gr00t
-
Training and validation of humanoid behaviors in MuJoCo Lab
➡️ Outcome: You will understand how learned humanoid skills can generalize beyond scripted demos and how these methods are used in current research and development.
The Construct Robotics Institute Certification
Upon successful completion of this training, participants receive a shareable Certificate of Completion issued by The Construct Robotics Institute.
This certificate recognizes demonstrated proficiency in:
- Reinforcement learning for humanoid robot control
- Simulation-to-real deployment workflows
- Hands-on operation of real humanoid robots
Proven Humanoid RL Deployment Experience
We’ve delivered multiple hands-on humanoid reinforcement learning programs, guiding teams through complete Sim2Real workflows — from simulation to real hardware execution.
venue
On-site Training in Barcelona
📍Carrer de Pujades, 100, Barcelona, Spain
Hands-on training with real robots, real intelligence, in vibrant Barcelona.
What Past Participants Say
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Humanoid Robots RL Training
Dates:
April 8 – 10, 2026
Time
9:00 – 17:00 Central European Time (CET)
Pricing
-
Early Bird: €1,999 (until March 5, 2026)
-
Standard: €2,499 (until April 1, 2026)
Spots
Limited to 50 participants
Prerequisite Knowledge
-
Linux, Python
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 after the course
Lifetime Access to the Code Developed During the Training
Fast Support & Guidance from Instructors
Training Completion Certificate
Lunches & coffee breaks
Questions or need an invoice?
Email us at info@theconstruct.ai
If your organization requires invoice or purchase order payment, we can reserve a seat for you.
FAQ
Frequently Asked
+ What is the language used in training?
English
+ What are the prerequisites for this training?
Recommended Background
This bootcamp is designed for engineers and researchers who want to gain hands-on experience with humanoid reinforcement learning and Sim2Real workflows.
Participants typically have some familiarity with:
• Python programming
• Linux environments
Prior experience with humanoid robots is not required.
Optional Preparation Resources
If you would like to refresh some fundamentals before attending, the following courses may be helpful:
• Linux for Robotics (Free)
• Python3 for Robotics (Free)
These are optional resources and are not required to participate in the training.
Equipment
Computer: Linux, macOS, or Windows
Browser: Chrome or Firefox
Software: No installation required in advance
Optional Accessories: Mouse, keyboard, or other peripherals as preferred
+ 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.
+ 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.