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OSU-NLP-Group avatar

OSU-NLP-Group/LLM-Planner

0
View on GitHub↗
228 stars·31 forks·C·MIT·12 viewsosu-nlp-group.github.io/LLM-Planner↗

LLM Planner

Code for LLM-Planner.

Features

  • Embodied Agents - Enables few-shot grounded planning for embodied agents.
  • Task and Motion Planning - Few-shot grounded planning for embodied agents.

Star history

Star history chart for osu-nlp-group/llm-plannerStar history chart for osu-nlp-group/llm-planner

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with LLM Planner

These projects share indexed features with LLM Planner. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • huangwl18/language-plannerH

    huangwl18/language-planner

    0View on GitHub↗
    View on GitHub↗0
  • ysymyth/reactysymyth avatar

    ysymyth/ReAct

    4,011View on GitHub↗

    ReAct is an agentic workflow template and prompting framework for large language models. It implements a logic pattern that integrates chain-of-thought reasoning with external tool execution to solve complex, multi-step tasks. The framework uses an interleaved reasoning and acting logic, forcing the model to document its internal thought process before executing an action. This cycle of planning and acting allows the system to interact with external APIs or databases and inject real-world data back into the model context to refine reasoning paths. The project covers autonomous task execution

    Jupyter Notebook
    View on GitHub↗4,011
  • facebookresearch/habitat-labfacebookresearch avatar

    facebookresearch/habitat-lab

    2,848View on GitHub↗

    Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor environments. It functions as a high-performance 3D indoor environment simulator that supports physics-based interaction, enabling research into navigation and manipulation tasks. The platform provides a modular task-environment abstraction that separates task logic from environment simulation, using configuration-driven pipeline assembly to compose simulation and training pipelines. It includes a hierarchical sensor-actuator architecture for mixing and matching perception and act

    Pythonaicomputer-visiondeep-learning
    View on GitHub↗2,848
  • craftjarvis/jarvis-1CraftJarvis avatar

    CraftJarvis/JARVIS-1

    398View on GitHub↗

    [Website](http://craftjarvis-jarvis1.github.io/) [Paper](https://arxiv.org/abs/2311.05997) [Twitter](https://twitter.com/jeasinema/status/1723900032653643796)

    Java
    View on GitHub↗398
Compare all 30 related projects→

Frequently asked questions

What does osu-nlp-group/llm-planner do?

Code for LLM-Planner.

What are the main features of osu-nlp-group/llm-planner?

The main features of osu-nlp-group/llm-planner are: Embodied Agents, Task and Motion Planning.

Which projects share features with osu-nlp-group/llm-planner?

Projects with overlapping indexed features include: ysymyth/react — ReAct is an agentic workflow template and prompting framework for large language models. It implements a logic pattern… huangwl18/language-planner. facebookresearch/habitat-lab — Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor… craftjarvis/jarvis-1 — [[Website]](http://craftjarvis-jarvis1.github.io/) [[Paper]](https://arxiv.org/abs/2311.05997)… embodied-generalist/embodied-generalist — An Embodied Generalist Agent in 3D World. donggehan/codellmpersonalize.