Nitish Dashora
@DashoraNitish
PhD student @MIT in ML + robot learning | UC Berkeley EECS w/ Honors | Prev @nasa, @amazon, @berkeley_ai | Astronaut+Goldwater Scholar, NSF GRFP
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There’s lots of buzz around agentic harnesses for robots, particularly for long horizon tasks that require complex reasoning and memory. But what will it really take to turn a reasoning agent into a reactive, reliable and low-latency robot policy?
In our new paper, workspace models, we design a new memory architecture that acts as a latent harness for stronger reasoning models. Here’s why we think this might be the way forward:
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