Repository: https://github.com/isaac-for-healthcare/i4h-physics-simulation
Isaac Sim-compatible simulation tools for anatomy and healthcare robotics
Isaac for Healthcare - Medical Physics Simulation#
Isaac Sim–compatible simulation tools for modeling anatomy and healthcare robotics, powered by NVIDIA Newton, Warp, and generative video models.
This repository aggregates physics and generative simulators under physics_simulation/. Use them to prototype endoluminal and laparoscopic procedures, train robotics policies, and generate synthetic surgical video.
Available Simulators#
Available Components#
Endoluminal Physics Simulator#
Status: Partially ported. physics_simulation/endoluminal/catheter-vasculature-solver holds the catheter and vasculature solver. The wider interventions simulator is still being migrated.
What it provides: A Newton-based endoluminal solver (catheter and related devices) using Cosserat rod / XPBD soft-body physics on NVIDIA Warp and Newton.
Available in-tree today:
- Cosserat / XPBD catheter insertion through static or deformable vessel walls
- Track-guided insertion along a fixed guide axis
- Vessel containment via SDF or mesh-edge collision paths
- Bendable / steerable distal tip with configurable rest curvature
- Deformable vessel walls via a branching centerline Cosserat tree with two-way contact and surface skinning
- Optional Isaac Lab coupling that steps rigid tools and the catheter in one Newton substep
Not ported yet:
- Endoscopic camera mode that follows the catheter tip
- Packaged scenes such as aorta and airways (USD / mesh assets), and YAML scene authoring
- Bronchoscope and other non-catheter devices
Vessel geometry is authored outside this repository; see the solver README for how to feed it a vessel mesh and insertion track.
Soft Tissue & Fluid Surgical Simulator#
Status: Not yet ported. The physics_simulation/surgical folder is a placeholder. Source currently lives in omnisurg and will be migrated here.
What it will provide: A Newton-compatible soft-tissue and fluid simulator for laparoscopic / robotic surgery, including instrument–tissue interaction and optional haptic device output.
Planned capabilities (from the upstream omnisurg codebase):
- Tetrahedral and hex soft-tissue bodies with XPBD deformation, grasp, contact, stretch/breaking, and thermal stages
- Deformable organ surfaces and directed organ–organ contact
- Procedure packages (for example cholecystectomy tet cases) with YAML-authored assets, instruments, and solvers
- Particle-based fluids (PBF) and cloth demos
- Optional haptic output (e.g. MiniMou) with force caps and calibration presets
- Rendering backends including noop (headless) and RTX-oriented paths
Upstream quick reference (until the port lands):
# From the omnisurg repository
uv run omnisurg --config examples/minimal_case.yaml
uv run omnisurg --config examples/chole_tet_case_med.yaml
Haptic presets and hardware checklist: see omnisurg’s HAPTICS.md.
Generative Physics Simulation (Cosmos-H-Dreams)#
Status: Available as a git submodule at physics_simulation/cosmos_h_dreams.
Real-time action-conditioned surgical video simulation via WebRTC, built on FlashDreams. Given a conditional first frame and a live stream of instrument action vectors, the model rolls forward generated frames and streams them to a browser or Meta Quest headset.
Key features:
- Offline batch inference from a JSON manifest
- Interactive WebRTC control (keyboard browser or Meta Quest / WebXR)
- Multiple runner configs (chunk size, 2- vs 4-step schedule, VAE vs light TAE decoder)
git submodule update --init --recursive physics_simulation/cosmos_h_dreams
cd physics_simulation/cosmos_h_dreams
# Build and run — see the submodule README for checkpoints and full flags
docker build -t cosmos-h-dreams:latest docker/
# Offline example:
# uv run flashdreams-run cosmosHDreams-chunk3-vae-vae --input-json ...
Full setup, configs, and system requirements: Cosmos-H-Dreams README.
Repository Layout#
physics_simulation/
├── endoluminal/ # Catheter + vasculature solver (Newton / Warp)
├── surgical/ # Placeholder — port from omnisurg (pending)
└── cosmos_h_dreams/ # Git submodule — generative surgical video sim
Getting Started#
- Clone this repository (with submodules for generative sim):
git clone --recurse-submodules https://github.com/isaac-for-healthcare/i4h-physics-simulation.git
cd i4h-physics-simulation
If you already cloned without submodules:
git submodule update --init --recursive
-
Use the component that is available today:
-
Generative sim: follow physics_simulation/cosmos_h_dreams/README.md
- Endoluminal catheter sim: follow physics_simulation/endoluminal/catheter-vasculature-solver/README.md
- Surgical Newton sim: not in-tree yet — use the upstream omnisurg repository until that folder is populated
Requirements#
Shared / typical prerequisites (exact versions depend on the component):
| Requirement | Notes |
|---|---|
| OS | Linux |
| Python | 3.12+ (Cosmos-H-Dreams); the endoluminal solver supports 3.10+; omnisurg currently pins 3.12.12 |
| GPU | NVIDIA GPU; Cosmos-H-Dreams recommends ≥12 GB VRAM |
| Driver / CUDA | Cosmos-H-Dreams: driver R580+ (CUDA 13.x). Newton / Warp stacks need a CUDA-capable driver matching the installed toolkit |
| Container | Docker + NVIDIA Container Toolkit for the generative sim image |
Newton-based endoluminal and surgical stacks additionally depend on NVIDIA Newton and Warp (see the in-tree physics_simulation/endoluminal/catheter-vasculature-solver/pyproject.toml, or the upstream omnisurg pyproject.toml for the surgical stack).
Security#
See SECURITY.md. Do not report security vulnerabilities through public GitHub issues.
Support#
This repository is under active development (experimental). For questions and support, open an issue in the GitHub repository.
License#
Licensing varies by component. Cosmos-H-Dreams code is primarily Apache-2.0 with model weights under the NVIDIA Open Model License — see physics_simulation/cosmos_h_dreams/LICENSE. Upstream omnisurg licenses apply until that package is ported and documented here.