NVIDIA Isaac Sim
NVIDIA Isaac Sim is a robotics simulation and synthetic data generation platform built on NVIDIA Omniverse. It provides physically accurate virtual environments for developing, testing, and managing AI-based robots. The tool supports workflows such as synthetic data generation for training robot perception, mobility, and manipulation models, software-in-the-loop and hardware-in-the-loop testing, and robot learning through NVIDIA Isaac Lab. It includes simulation of various sensors like RGB-D cameras, RTX-Lidar, Radar, and IMU, with integration for Python and ROS 2 workflows. The platform features a modular architecture allowing custom USD-based simulators and supports humanoids, manipulators, and autonomous mobile robots. It offers containerized deployment on Linux with headless mode and livestream clients. The latest version (5.0.0) includes security patches and new sensor and ROS 2 features. NVIDIA Isaac Sim requires a compatible system with an RTX GPU and at least 16GB VRAM for optimal performance.
NVIDIA Isaac Sim is a robotics simulation and synthetic data generation tool designed for AI-driven robot development and testing.
Robot Model Training
Generate synthetic data with Isaac Replicator to train AI models for robot perception and manipulation.
Software and Hardware Testing
Validate robot software stacks through software-in-the-loop and hardware-in-the-loop testing in simulated environments.
Robot Learning
Use NVIDIA Isaac Lab built on Isaac Sim for robot learning workflows including navigation and manipulation.