GENESIS, a generative artificial intelligence (AI) physics model that can simulate a four-dimensional (4D) world, was unveiled on Thursday. It is a unique AI model, as it combines many different capabilities to simulate scenarios for general-purpose robotics and physical AI applications. The researchers behind the project claimed that Genesis is excellent in simulation speed and is up to 80 times faster than typical GPU-accelerated systems. In particular, the open-source AI system is available through the Python Package Index (PYPI) repository. But installers will also need to install PyTorch.
Genesis AI physics model can simulate dynamic world for robotics training
In a post on Was built after. It integrates multiple physics solvers and their coupling into a unified framework.
Genesis supports simulation of a variety of physical phenomena. We have developed from the beginning an integrated physics engine that integrates various SOTA physics solvers (MPM, SPH, FEM, Rigid Body, PBD, etc.), supporting the simulation of a wide range of materials: Rigid Body , Express… pic.twitter.com/PqhIWULKgp
– Zhou Xian (@zhou_xian_) 18 December 2024
Built entirely on Python, it features a generative agent framework and is powered by a universal physics engine. Currently, the group has only open-sourced the underlying physics engine and simulation platform. It added that the generic framework will be released in the future.
As per the claims made by the researchers, the promise of this AI system is huge. It is said to be 10 to 80 times faster than systems like Isaac Jim and MJX, which rely on GPU acceleration to create simulations. Furthermore, in specific scenarios, the engine claims to deliver simulation speeds up to 4,30,000 times faster than real-time. The lead researchers said it could train a robotic locomotion policy on a single Nvidia RTX4090 GPU in 26 seconds.
Talking about the key features of the Genesis AI physics engine, it is fully integrated with Python as both the frontend and backend of the engine were originally developed in it. The system is also available through application programming interface (API). Despite the fast simulation speed, it is said to maintain simulation accuracy and fidelity. Its integrated framework also enables multiple physics solvers to model a wide range of physical phenomena and materials. The physics engine also provides ray-tracing rendering.
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