Infinite Mobility - An interactive object generation model launched by Shanghai AI Lab

What is Infinite Mobility?

Infinite Mobility is an interactive object generation model developed by the Shanghai AI Lab. Based on procedural generation technology, it efficiently generates high-quality interactive object data assets. Infinite Mobility supports the generation of 22 common interactive object categories, with each object taking only about 1 second to generate, and there is no limit to the number of objects that can be generated. Compared to traditional datasets (such as PartNet-Mobility), Infinite Mobility generates objects with higher structural complexity, better appearance quality, and lower cost. Objects generated by Infinite Mobility have been applied to simulation training platforms such as Taoyuan 2.0 and Isaac Sim, helping robots to conduct large-scale training in virtual environments and improve their operational capabilities in the real world.

The main functions of Infinite Mobility

• Efficiently generate interactive objectsIt supports the rapid generation of high-quality interactive objects, with a single object taking only about 1 second to generate, and there is no limit to the number of objects that can be generated.
• Supports diverse object categoriesThe model supports the generation of 22 common interactive objects, covering various types such as furniture, home appliances, and tools, to meet the needs of different application scenarios.
• Provide high-quality geometry and materialsIt supports realistic textures, metal oxidation marks, wood grain and other effects to enhance the realism of the simulation environment.
• Ensure physical rationalityBased on programmed detection and adjustment, problems such as object self-collision and unreasonable joint movement are avoided, ensuring that the generated objects can be directly used for simulation training.
• Low-cost data generationInfinite Mobility's single generation cost can be reduced to approximately 0.01 yuan, significantly lowering data acquisition costs.

The technical principles of Infinite Mobility

• Programmatic generation technologyInfinite Mobility uses procedural generation technology to dynamically generate the structure, geometry, and materials of objects based on preset rules and logic. This avoids the dependence on large-scale labeled data in traditional data-driven methods, thus reducing costs.
• Tree structure growth strategyThe joint structure of an object is abstracted as a tree-like model similar to URDF. Starting from the root node, the complete object structure dynamically "grows" based on semantic rules. By controlling the generation and combination of subtrees based on probability distribution, the model can generate diverse object shapes.
• Geometry and Material GenerationThe model combines procedural generation with a carefully selected asset library to ensure precise alignment of component dimensions, positions, and support points. Realistic material effects are generated by procedurally adjusting physically based rendering (PBR) parameters.

Infinite Mobility's project address

• Project official website:https://infinite-mobility.github.io/
• GitHub repository:https://github.com/OpenRobotLab/Infinite-Mobility
• arXiv technical paper:https://arxiv.org/pdf/2503.13424

Application scenarios of Infinite Mobility

• Robot simulation trainingProvide robots with interactive objects in a virtual environment to enhance their operational capabilities.
• Medical robot developmentGenerate medical device models to aid in the training of medical robots.
• Home service robot optimizationProvide models of home appliances and furniture to enhance the adaptability of home service robots.
• Virtual Reality and Augmented RealityEnrich the interactive objects in the virtual scene and improve the user experience.
• Artificial intelligence researchIt provides diverse data to support research on object recognition and interactive learning.