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Rigyd is a 3D infrastructure platform for creating simulation-ready assets for robotics and embodied AI. It converts raw 3D models, images, or text descriptions into physics-enabled OpenUSD assets and MJCF files that can be used in robotics simulation workflows. The platform is designed to help teams generate objects and environments with collision geometry, material properties, semantic labels, and other simulation data needed for realistic training and testing.
The app supports workflows for converting existing 3D files into SimReady assets without manual preprocessing, as well as generating new simulation assets from image or text inputs. It also helps scale the creation of physics-accurate objects and scenes for use cases such as warehouse automation, mobile robot navigation, industrial inspection, manipulation training, and domain randomization. Rigyd is built for compatibility with common robotics and simulation ecosystems, including OpenUSD-based pipelines and tools such as Isaac Sim, MuJoCo, Gazebo, and Unreal Engine.
Website: rigyd.com
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