Physically Based Simulation
Uses NVIDIA PhysX to simulate joint friction, actuation, rigid and soft body dynamics, and velocity for realistic robot behavior.
Synthetic Data Generation
Includes Isaac Replicator for generating synthetic datasets with domain randomization to train robot perception models.
Sensor Simulation
Simulates sensors such as RGB-D cameras, RTX-Lidar, Radar, and IMU with support for OpenCV lens distortion models.
ROS 2 and Python Integration
Supports ROS 2 (including Jazzy) and MoveIt2 workflows, enabling integration with common robotics software stacks.
Modular Architecture
Allows creation of custom USD-based simulators and integration into existing pipelines for various robot types including humanoids and AMRs.
Containerized Deployment
Provides containerized versions for Linux with headless mode and livestream client support for flexible deployment.