# Genesis World

> Unified multi-physics simulation platform for physical AI and robotics development.

Genesis World is an open-source physics engine and simulation platform tailored for robotics and physical AI research. It integrates rigid bodies, FEM, MPM, SPH, and cloth solvers into a single unified scene with cross-platform GPU compilation and photorealistic rendering. The platform lets researchers simulate complex physical interactions and train reinforcement learning agents from a clean Python interface.

Website: https://github.com/Genesis-Embodied-AI/genesis-world

## What it is for

- Train reinforcement learning policies for robotic arms, quadrupeds, and drones in batched parallel environments
- Simulate multi-physics interactions combining rigid bodies, fluids, granular materials, and deformable objects
- Render synthetic sensor data including depth cameras, LiDAR, and tactile sensors for embodied AI pipelines
- Perform batched inverse kinematics and trajectory planning at scale on GPUs

## Features

- Unified multi-physics engine supporting Rigid, FEM, MPM, SPH, PBD, and IPC solvers in one state
- Cross-platform Quadrants compiler lowering Python kernel code to CUDA, ROCm, Apple Metal, Vulkan, and CPU
- Pluggable photorealistic rendering backends including Nyx, Luisa ray tracing, and Pyrender
- Native support for common robotics asset formats (URDF, MJCF, OBJ, GLB, USD)
- Built-in sensor simulation for depth cameras, IMU, LiDAR, tactile arrays, and contact forces
- Fast batched and heterogeneous simulation for high-throughput robot learning

## Pricing

Open source. Free and open-source under the Apache-2.0 license.

## Details

- Type: GitHub repo
- Category: [Development](https://xiry.app/topics/development.md)
- Open source: yes
- Platforms: Linux, macOS, Windows, Code library
- For: Robotics researchers, machine learning engineers, and embodied AI developers.
- Alternative to: NVIDIA Isaac Gym, MuJoCo, PyBullet
- Tags: robotics, simulation, physics engine, embodied ai, reinforcement learning, python

## Why it was saved

- [@evolving.ai, 21 December 2024](https://www.instagram.com/p/DD1-062MSvr/): Simulates complex physical phenomena (rigid bodies, soft robotics, fluids, non-convex collisions) up to 10–80x faster than NVIDIA Isaac Gym, with cross-platform GPU support and text-to-4D scene/skill generation.

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Updated 3 October 2026. Page: https://xiry.app/resources/genesis-world

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