Module 4: Vision-Language-Action (VLA) Models
Overview
In the final module (Weeks 11-13), you'll integrate Vision-Language-Action models to enable natural language understanding and high-level decision-making for autonomous humanoid robots.
Duration: 3 weeks (30 hours estimated) Weeks: 11-13 Prerequisites: Modules 1-3, basic understanding of transformer models
Learning Objectives
- Understand VLA Architecture - Explain how VLAs combine vision, language, and action for robotics
- Integrate Natural Language - Enable robots to understand and execute natural language commands
- Implement Humanoid Control - Deploy VLAs for humanoid robot task planning and execution
- Complete Capstone Project - Integrate all modules into an autonomous humanoid system
Module Content
Week 11: VLA Introduction
- VLA model architecture
- Pre-trained models for robotics
- Language-to-action mapping
- Fine-tuning for specific tasks
Week 12: Humanoid Integration
- Humanoid robot control with VLAs
- Task decomposition from natural language
- Integration with ROS 2 and Isaac Sim
- Multi-modal perception and action
Week 13: Capstone Integration
- Complete autonomous humanoid system
- Voice interface implementation
- Task planning and execution
- Final capstone project presentation
Capstone Integration
VLAs provide the high-level intelligence for your humanoid:
- Understand natural language commands ("Bring me the red cup")
- Decompose tasks into robot actions
- Plan multi-step manipulation sequences
- Adapt to dynamic environments
Capstone Project
Autonomous Humanoid System (Week 13)
Build a complete system with 5 components:
- Voice Interface - Speech recognition and natural language understanding
- Task Planner - VLA-based task decomposition
- Navigation - Autonomous navigation to target locations
- Perception - Object detection and pose estimation
- Manipulation - Grasp planning and execution
Begin your journey with Week 11: VLA Fundamentals →