Advanced Features

Overview

This section covers advanced control and autonomy features that extend the AI Worker's capabilities beyond basic imitation learning. These features enable more sophisticated task execution, decision-making, and adaptive behaviors in complex real-world scenarios.

Available Features

1. Behavior Trees

Behavior Trees provide a modular, hierarchical framework for organizing robot control logic. They enable:

• Task Decomposition: Break complex tasks into manageable subtasks
• Reactive Control: Respond dynamically to sensor inputs and state changes
• Reusability: Share behaviors across different tasks and scenarios
• Visual Design with Groot 2: Design and edit behavior trees graphically using Groot 2, then export to XML format for execution

Behavior Trees are particularly powerful when combined with imitation learning models, where learned policies serve as action nodes within a larger decision-making structure. The AI Worker uses XML-based behavior tree definitions created with Groot 2, providing a visual workflow for designing complex robot behaviors.

Learn More About Behavior Trees