Using generative AI to diversify virtual training grounds for robots MIT CSAIL's “Steerable Scene Generation” method helps create realistic, virtual training grounds to help robots practice physical tasks. It arranges 3D assets into digital kitchens, living rooms,...

Researchers at #MIT’s #CSAIL & the #ToyotaResearchInstitute may have found a way to create the diverse, realistic training grounds #robots need. Their #steerable scene generation” approach creates digital scenes to simulate lots of real-world interactions and scenarios. news.mit.edu/2025/using-g...

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Spearheaded by the unstoppable Leili Mortazavi with Elnaz Ghasemi and Charlene C. Wu , this culminates > 15 years of work!
The findings imply that some #FMRI findings are more robust than commonly thought (with respect to reliability, validity, and generalizability).
Special thanks to the […]