Pulkit Agrawal

With a new method developed at MIT, an LLM behaves more like a student, writing notes that it studies to memorize new information.

Agrawal received the award for his work in “robot learning, self-supervised and sim-to-real policy learning, agile locomotion, and dexterous manipulation,” according to the organization.

The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.

This ongoing listing of awards and recognitions won by our faculty is added to all year, beginning in September.

CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.