Sim-to-Real Transfer Skill

Overview

Expert skill for bridging the simulation-to-reality gap through domain randomization, system identification, and transfer validation techniques.

Capabilities

• Implement domain randomization (physics, appearance, dynamics)
• Configure system identification for simulation parameters
• Set up adaptive domain randomization
• Implement domain adaptation techniques
• Configure noise injection for robust policies
• Set up reality gap metrics and monitoring
• Implement progressive network transfer
• Configure latency simulation
• Set up sensor noise modeling
• Implement hardware-in-the-loop validation

Target Processes

• sim-to-real-validation.js
• digital-twin-development.js
• rl-robot-control.js
• field-testing-validation.js

Dependencies

• Simulation environments (Gazebo, Isaac Sim)
• Physical robot access
• System identification tools

Usage Context

This skill is invoked when processes require transferring simulation-trained models or behaviors to real robot hardware with minimal performance degradation.

Output Artifacts

• Domain randomization configurations
• System identification results
• Reality gap analysis reports
• Transfer validation metrics
• Sensor noise models
• Calibrated simulation parameters