Paper

Code as Policies

A robot planning research work published in 2023 that explores applying language models to robot policy generation through code synthesis. It is one of the representative works in using LLMs for robotic task planning.

Timeline (last 90 days)

Oct 30

Typical representatives of the "LLM as high-level planner" architecture are works such as SayCan and Code as Policies.

Unverified50%

Oct 10

Representative works applying LLMs to robot task planning include SayCan (Google, 2022) and Code as Policies (2023).

Unverified50%

All Facts (2)

Unverified

Typical representatives of the "LLM as high-level planner" architecture are works such as SayCan and Code as Policies.

50%Unverified

Representative works applying LLMs to robot task planning include SayCan (Google, 2022) and Code as Policies (2023).

50%

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