09/09/2025
The Evercoast team has been hard at work integrating 4D Gaussian Splats into NVIDIA Omniverse and Isaac Sim.
Splatting is changing how we represent humans and environments in spatial computing and simulation. It captures the real-world in motion with remarkable detail -- soft tissue dynamics, fabric folds, objects, machinery, subtle gestures -- delivering a level of realism that traditional mesh or skeleton-based systems can’t match.
This opens up new possibilities for photorealistic humans, objects, and scenes in simulation environments like NVIDIA Omniverse and Isaac Sim.
We explored how to integrate splats into robotics workflows, what works today, and what gaps remain.
The takeaway:
This isn’t just about better visuals -- it’s about enabling robots to train on real-world, dynamic human behavior. As splats evolve, they’ll help bridge the gap between simulation and reality, providing richer, more lifelike environments for AI training and testing.
This technology can enable physical AI teams to capture real-world data and instantly integrate it into their simulations -- not just as visuals, but as interactive, measurable data that accelerates development and safety.
It doesn't come without its limitations. The support for splatting in most engines and toolchains is still evolving. And of course the mesh is not dead! The mesh is still hands-down the dominant representation in terms of broad support, file size, and overall optimizations. But splats are evolving quickly, and we're helping pushing it forward.
Our deep dive here: https://insights.evercoast.ai/integrating-4d-gaussian-splats-into-omniverse-and-isaac-sim-50b66011a393
Progress, Challenges, and What Comes Next
