Module 1
Robot Middleware
ROS 2 Fundamentals
Master the robotic nervous system with ROS 2 middleware for robot control.
- Nodes, Topics, and Services
- Python Agents with rclpy
- URDF for Humanoids
Weeks 1-5
ROBOLEARNPLATFORM
Build robots thatunderstandthe physical world.
Master Physical AI from browser to production. ROS 2, Isaac Sim, and Vision-Language-Action models.Free forever.
ROS 2
Isaac Sim
Gazebo
VLA Models
Simulation Ready
No Hardware Needed
Your Journey
From Zero to Building Robots That Think
Each step brings you closer to creating machines that move, sense, and understand
Module 2
Simulation
Digital Twins
Build physics simulations and high-fidelity environments.
- Gazebo Physics Simulation
- Unity Visualization
- Sensor Simulation (LiDAR, IMU)
Weeks 6-7
Module 3
AI-Powered
NVIDIA Isaac
Advanced perception, navigation, and sim-to-real transfer.
- Isaac Sim & Synthetic Data
- VSLAM & Navigation
- Reinforcement Learning
Weeks 8-10
Module 4
Capstone
Vision-Language-Action
Convergence of LLMs and Robotics for conversational control.
- Voice-to-Action (Whisper)
- LLM Cognitive Planning
- Autonomous Humanoid Capstone
Weeks 11-13
Why This Matters
Build Machines That Free Up Your Time
Robots that handle physical tasks while you focus on what matters most
Embodied Intelligence
AI that operates in physical space, not just digital environments. Robots that understand physics and interact with the real world.
Human-Centered Design
Humanoid robots navigate our world without modification. They use human tools, interfaces, and learn from demonstrations.
Production-Ready Skills
ROS 2, Gazebo, NVIDIA Isaac, and VLA models. The complete stack for modern robotics development.
Conversational Robotics
Natural language commands translated to robot actions. 'Clean the room' becomes a sequence of coordinated movements.
Sim-to-Real Transfer
Train in simulation, deploy to reality. Photorealistic environments and domain randomization bridge the gap.
Interactive Learning
RAG-powered chat, personalized content, and hands-on exercises. Learn by doing, not just reading.
Start Where You Are
No Expensive Hardware Required
Begin building today with just your browser. Scale up when you're ready.
1
Workstation
Full Local Setup
Best Experience
RTX 4070 Ti+, 64GB RAM, Ubuntu 22.04. Run Isaac Sim locally with full performance.
Cost: ~$2,500+ hardware
2
Cloud + Edge
Hybrid Approach
Flexible
AWS/Azure GPU instances for simulation. Jetson kit for physical deployment.
Cost: ~$200/quarter cloud + $700 Jetson
3
Simulation Only
Learning Focus
Lowest Cost
Cloud-based simulation without physical hardware. Complete the theory and simulation modules.
Cost: Cloud compute only