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Best Practices for Virtual Testing
===== Best Practices for Virtual Testing =====
- Incremental Complexity: Start simple and build up to more complex environments and tasks.
 
- Cross-Simulator Validation: Validate robot models across simulators (e.g., Isaac and MuJoCo) to ensure robustness.
 
- Incorporate Real-World Fidelity: Include sensor noise and imperfections for better policy generalization.
 
- Optimize Resources:
 
Use Azure's A100 GPUs for Isaac training.
 
Capture real-world data to refine virtual training.
By understanding the nuances and strengths of each simulator, developers can refine their humanoid robots effectively. Using Isaac Sim, Isaac Gym, and complementary tools, a robust simulation approach ensures smooth virtual-to-physical transferability while reducing development time and costs.
 
== Real-World Testing ==

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