Nitish Dashora(@DashoraNitish):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: (1/9)

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

参加 April 2019

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Nitish Dashora@DashoraNitish

2026.10.01 14:50

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: (1/9)