#1 · Primary category: Robotics & Embodied AI Simulation
genesis-world
Simulation platform for general-purpose robotics & embodied AI learning.
Project last updated:08/29/26
GitHub Stars
29.8K
Forks
2.8K
Contributors
110
License
Apache-2.0
Why we included this project
Genesis World is a strong option for robotics and embodied-AI teams that want to test perception and control policies in simulation before touching real hardware. It wraps a unified multi-physics engine, a photorealistic renderer, and a cross-platform compiler in one Pythonic API, so you can build environments and generate synthetic training data, with parallel simulations that scale from a laptop to datacenter GPUs. Since the whole stack is Python, you can read and modify the simulator instead of treating it as a black box, which helps when you want to embed it in existing research code. The photorealism and speed, combined with the ability to dig into the code, make it a practical base for robot manipulation studies and large-scale synthetic data pipelines.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
carla
Open-source simulator for autonomous driving research.
rerun
Visualize, query, and stream to train on multimodal robotics data.