📄️ Chapter 1: VLA Concepts
In our previous modules, we've equipped our robot with the ability to perceive its environment and navigate autonomously. Now, we're going to push the boundaries of robotic intelligence by enabling our robot to understand and execute commands given in natural language. This is the realm of Vision-Language-Action (VLA) models.
📄️ Chapter 2: Implementing the VLA Model
Building a Vision-Language-Action (VLA) model from scratch can be a daunting task. Fortunately, we can leverage existing large language models (LLMs) and pre-trained vision models to accelerate our development. This chapter will outline a practical approach to implementing a VLA model, focusing on architectural considerations and data flow.
📄️ Chapter 3: Capstone Project: Voice Control
We've explored the theoretical foundations and architectural components of Vision-Language-Action (VLA) models. Now, it's time to bring everything together in a capstone project: building a voice-controlled robot. This project will demonstrate how to integrate speech recognition, a VLA model, and robot control to enable natural language interaction with our robot.