Creating a library that will allow users to train their robots using GenAI

Imagination-to-real Train your robot to do whatever you want using Generative AI.

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Description
imagination-to-real empowers robotics developers by bridging the gap between generative AI and classical physics simulators. Our library prepares realistic, diverse, and geometrically accurate visual data from generative models. This data enables robots to learn complex and highly dynamic tasks, such as parkour, without requiring depth sensors.

🚀 What It Does:

⚪ Integrates generative models with simulators to create rich, synthetic datasets.
⚪ Ensures temporal consistency with tools like Dreams In Motion (DIM).
⚪ Offers compatibility with MuJoCo environments for seamless data preparation.