huangwl18/language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
This project helps roboticists or AI researchers quickly generate logical action plans for complex tasks, like "make breakfast," using large language models. You provide a high-level task description and a list of possible actions the robot can perform. The output is a step-by-step sequence of actions the robot can execute. This is useful for those developing or experimenting with embodied AI agents.
278 stars. No commits in the last 6 months.
Use this if you need to generate detailed, actionable plans for an embodied agent from simple human language descriptions without extensive domain-specific training.
Not ideal if you require highly precise, safety-critical robotic control or if your available actions are outside typical household domains without custom configuration.
Stars
278
Forks
36
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 16, 2022
Commits (30d)
0
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