Carbon - Simulation for AI

 

Summary

Carbon provides the advanced dynamics required for complex Reinforcement Learning and real-time dynamics augmenting Physical AI.
More information on Carbon for Physical AI here - https://numerion-software.com/carbon-for-physical-ai

Carbon is a high-performance, fully deterministic Displacement Based Dynamics (DBD) C++ library with a unique building block architecture that integrates Rigid, Soft Body and Fluids simulation into a multi-physics solution, with features and performance that go well beyond traditional physics engines.

Carbon's building block architecture makes it uniquely suitable for RL by experience. See more on the Carbon building block architecture here https://numerion-software.com/carbon-building-block-architecture.

With a focus since 2009 on Cloth and Volumetric simulation for Real to Sim, for movie visual effects. Carbon has also been used under the radar, since 2016, in Sim to Real for haptics mediated robot operator training (medical and nuclear) and digital twin in the loop for nuclear robotics at UKAEA.

 

Key Tech Specs

 

 

Carbon - Proven in Nuclear. Perfected for AI!

 
“We run interesting scenes at 3kHz in real time when we’re doing multi-point grasp work.
It’s just as remarkable that Carbon slots neatly into your existing graphics pipeline at
60Hz, as it is that it runs soft real-time robotics control at 3kHz.”
Toia, on running Carbon in production

 

Since 2016, Carbon is trusted in fields like nuclear remote handling (including environments like UKAEA and RAICo) and advanced medical/surgical simulations, where deterministic accuracy, sub-millimeter non-convex mesh collision, and strict physical limits are matters of operational safety. By deploying Carbon as your data validation and runtime safety guardrail, you are integrating a battle-tested engine capable of protecting your multi-million dollar hardware assets from catastrophic edge-case failures.

 

Demos

 

 

Technical Papers