Researchers use large language models to help robots navigate
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
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The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
Fifteen new faculty members join six of the school’s academic departments.
The 10 Design Fellows are MIT graduate students working at the intersection of design and multiple disciplines across the Institute.
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
An expert in robotics and AI, Shah succeeds Steven Barrett at AeroAstro.
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.