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Genesis - an open-source generative physics engine developed by CMU in collaboration with more than 20 research institutions.

Genesis is an open-source generative physics engine jointly developed by research institutions such as Carnegie Mellon University, the University of Maryland, Stanford University, and MIT. It can simulate everything in the world. Genesis can be described in simple language and is fast...

What is Genesis?

Genesis is an open-source generative physics engine jointly developed by research institutions such as Carnegie Mellon University, the University of Maryland, Stanford University, and MIT. It can simulate everything in the world. Genesis can quickly generate accurate physical simulations using simple language descriptions, including object motion, human actions, and robot strategies. The engine is characterized by high physical accuracy, fast simulation speed (approximately 430,000 times faster than the real world), and a user-friendly Python-based design. Genesis can simulate various materials and physical phenomena, providing a lightweight, ultra-fast robot simulation platform and a powerful and fast photorealistic rendering system. Genesis can convert user-defined natural language descriptions into data patterns for use in generative data engines. Designed for general robotics, embodied AI, and physical AI applications, Genesis heralds a significant advancement in the fields of physical simulation and robotics.

The main functions of Genesis

  • Physics simulationSimulates various materials and physical phenomena, including the motion of objects, collisions, and fluid dynamics.
  • Robot SimulationIt provides a lightweight, ultra-fast robot simulation platform that supports various robot types, such as robotic arms, legged robots, drones, and soft robots.
  • Photorealistic renderingIt possesses a powerful and fast photorealistic rendering system, capable of generating high-quality visual output.
  • Generative Data EngineIt converts users' natural language descriptions into data patterns for use in generating simulated scenarios.
  • Interactive 3D SceneIt supports fully interactive 3D scene generation, including home interior scenes, game environments, etc.
  • Open World Object GenerationIt can generate articulated objects in open worlds, providing high-quality mesh assets.
  • Soft robot simulationTo achieve realistic simulations of soft robots, such as worms and soft grippers.
  • Facial animation and voice synchronizationGenerate facial movements and expressions, synchronized with voice, to achieve realistic facial animation.

Genesis's technical principles

  • General Physics EngineBuilt from scratch, it integrates various physical solvers such as rigid body, MPM (matter point method), SPH (smooth particle hydrodynamics), FEM (finite element method), PBD (position basis dynamics) to achieve accurate physical simulation.
  • Generating Agent FrameworkIt runs on top of the core physics engine and is used for automated data generation, including video, camera motion, character actions, robot strategies, etc.
  • Differentiable simulationIt supports differentiable simulation, allowing the simulation process to be combined with machine learning algorithms for training and optimization.
  • Multimodal integrationIt integrates physical simulation with multimodal technologies such as visual rendering, motion capture, and speech synthesis to achieve a comprehensive simulation experience.
  • Cross-platform compatibilityDesigned to run on different operating systems and computing backends (such as CPUs, Nvidia GPUs, AMD GPUs, and Apple Metal).

Genesis project address

Application scenarios of Genesis

  • Robot simulation trainingSimulate complex environments to train robots to perform tasks in the real world.
  • Game Physics EngineIn game development, creating realistic physics and character movements is crucial.
  • Movie special effects productionIt simulates realistic physical destruction and dynamic effects, and is used in film post-production.
  • Scientific Research SimulationIn physics and engineering research, simulation experiments and testing theories are used.
  • Virtual teaching platformIn the field of education, virtual laboratories can be created to support physics and science teaching.
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