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Genesis

genesis-embodied-ai.github.io · 961 words · saved by 3 readers

Genesis is a comprehensive physics simulation platform designed for general purpose Robotics, Embodied AI, & Physical AI applications. It is simultaneously multiple things: Powered by a universal physics engine re-designed and re-built from the ground up, Genesis integrates various physics solvers and their coupling into a unified framework. This core physics engine is further enhanced by a generative agent framework that operates at an upper level, aiming towards fully automated data generation for robotics and beyond. Our generative framework aims to automate generating data including the following modalities: Currently, we are open-sourcing the underlying physics engine and the simulation platform. Access to the generative framework will be rolled out gradually in the near future. This webpage serves as a gallery showcasing different capabilities of the Genesis platform. Please refer to our documentation site to for detailed installation steps, tutorials and API references. Genesis

Genesis World is a simulation platform for physical AI developments. It combines a unified multi-physics engine, a photo-realistic renderer (Nyx), and a cross-platform compiler (Quadrants) behind a Pythonic simulation interface. Genesis World is designed to scale from a single laptop kernel to datacenter-grade GPUs, while remaining easy to read, extend, and embed in research code. It was previously named Genesis and started as an academic project since Dec 2024, and its development is now officially supported by Genesis AI. For more technical details, refer to our blog post. Table of…

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