nvidia-isaac-sim-skill

Solid

Specialized skill for NVIDIA Isaac Sim photorealistic simulation and synthetic data generation

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# NVIDIA Isaac Sim Skill ## Overview Expert skill for NVIDIA Isaac Sim photorealistic simulation, Omniverse integration, and synthetic data generation using Replicator. ## Capabilities - Import and convert URDF to USD format - Create photorealistic environments with RTX ray tracing - Configure PhysX physics simulation - Implement Replicator synthetic data generation - Apply domain randomization (lighting, textures, poses) - Generate ground truth annotations (segmentation, depth, bounding boxes) - Configure ROS/ROS2 bridge for Isaac Sim - Set up multi-GPU distributed simulation - Create Isaac Sim extensions and workflows - Export datasets in standard formats (COCO, KITTI) ## Target Processes - isaac-sim-photorealistic.js - synthetic-data-pipeline.js - digital-twin-development.js - rl-robot-control.js ## Dependencies - NVIDIA Isaac Sim - Omniverse - NVIDIA GPU with RTX - USD/USDA libraries ## Usage Context This skill is invoked when processes require photorealistic simulation environments, synthetic data generation with domain randomization, or high-fidelity physics simulation using NVIDIA's simulation stack. ## Output Artifacts - USD scene files - Replicator configuration scripts - Synthetic datasets (images, annotations, ground truth) - Domain randomization configurations - ROS bridge configurations

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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