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Using generative AI to diversify virtual training grounds for robots

MIT CSAIL&039;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, and restaurants, then refines them to be physically accurate to ensure they&039;re lifelik

Intermediate

Some experience recommended

self paced

Format

Pricing available on course website

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About This Course

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, and restaurants, then refines them to be physically accurate to ensure they're lifelike.

Topics Covered
humanoid
robotics
engineering
ai
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Course Info

Level

Intermediate

Format

self paced

Provider

MIT OpenCourseWare