🔬 Robotics Labs
Hands-on experiments and practical labs for mastering Physical AI and Humanoid Robotics
🤖
ROS 2 Fundamentals Labs
Hands-on practice with nodes, topics, services, and real-time robot control
- ✓ Build your first ROS 2 node
- ✓ Publisher-Subscriber communication
- ✓ Service and Action servers
- ✓ URDF robot modeling
🌐
Simulation Labs
Create and test robots in Gazebo and Unity virtual environments
- ✓ Gazebo world creation
- ✓ Physics simulation setup
- ✓ Sensor integration (LiDAR, Camera, IMU)
- ✓ Unity Robotics Hub
🧠
NVIDIA Isaac Labs
Advanced AI robotics with Isaac Sim and synthetic data generation
- ✓ Isaac Sim environment setup
- ✓ Synthetic data generation
- ✓ VSLAM and perception pipelines
- ✓ Nav2 navigation stack
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Vision-Language-Action Labs
Integrate LLMs with robotics for conversational and multimodal interaction
- ✓ Voice-to-action with Whisper
- ✓ LLM task planning
- ✓ Gesture recognition
- ✓ Multimodal perception
💻 Hardware Lab Setups
Choose your hardware configuration for hands-on Physical AI experiments
🖥️ Full Workstation Lab
Complete local setup for maximum performance
- NVIDIA RTX 4070 Ti+ GPU
- 64GB RAM, Ubuntu 22.04
- Local Isaac Sim
- Zero latency
☁️ Hybrid Cloud Lab
Best balance of cost and capability
- Jetson Orin Nano edge device
- Cloud GPU for simulation
- RealSense camera
- Production-ready workflow
🌐 Cloud-Only Lab
Browser-based learning, no local hardware
- AWS/Azure GPU instances
- Remote Isaac Sim access
- Budget-friendly OpEx model
- Simulation-focused learning
Ready to Get Hands-On?
Start with Module 1 labs and build your way to advanced Physical AI
Begin Learning →