Toyota Research Institute

Caption:The “steerable scene generation” system creates digital scenes of things like kitchens, living rooms, and restaurants that engineers can use to simulate lots of real-world robot interactions and scenarios.

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Researchers propose a simple fix to an existing technique that could help artists, designers, and engineers create better 3D models.

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

Using generative AI to diversify virtual training grounds for robots

A new way to create realistic 3D shapes using generative AI

A technique for more effective multipurpose robots