Sensor Simulation
Physics-based medical sensor emulation for AI training and validation. Generate photorealistic synthetic data with GPU-accelerated performance for healthcare robotics applications.
What is Sensor Simulation?
Sensor Simulation provides high-fidelity emulation of medical imaging devices used in healthcare robotics. Each simulator implements physically accurate models to ensure synthetic data transfers seamlessly to real hardware.
Key Benefits:
- Unlimited Training Data: Generate diverse datasets without patient involvement
- Ground Truth Labels: Perfect annotations for every frame
- Edge Case Testing: Safely simulate rare or dangerous scenarios
- Hardware-in-the-Loop: Connect simulated sensors to real control systems
- Real-time Performance: 30+ FPS on modern GPUs
Available Sensors
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Ultrasound Simulation
GPU-accelerated ultrasound imaging with realistic tissue interactions
Features:
- Linear, curvilinear, and phased array probes
- Real-time B-mode and Doppler imaging
- Tissue-specific acoustic properties
- Speckle and artifact modeling
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Camera & Depth Sensors
Photorealistic RGB and depth sensing powered by Isaac Sim
Capabilities:
- Surgical vision systems (endoscopes, microscopes)
- Depth sensing for navigation and collision avoidance
- Multiple camera models and calibration support
- Multi-sensor rigs and sensor fusion