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Sim-to-Real Deployment

Introduction​

Sim-to-real deployment bridges simulation and physical robots, enabling algorithms developed in Isaac Sim to work on real hardware through careful gap mitigation strategies.

Learning Objectives:

  • Understand the reality gap challenge
  • Apply domain randomization for robust transfer
  • Deploy Isaac ROS to Jetson edge devices
  • Validate and tune real-world performance

Theory​

The Reality Gap​

Definition: Discrepancy between simulated and real-world behavior

Mitigation Strategies:

  1. Domain Randomization: Vary simulation parameters
  2. Sensor Noise Modeling: Add realistic noise in sim
  3. System Identification: Measure real robot parameters
  4. Progressive Deployment: Test incrementally

Deployment Workflow​

Isaac Sim Development → Testing → Jetson Deployment → Validation

Summary​

Successful sim-to-real deployment requires domain randomization, careful calibration, and systematic validation. Isaac ROS on Jetson enables seamless transition from simulation to real-world deployment.

Further Reading​