Model Zoo
============================

This section provides a curated collection of pre-trained models, reference implementations, and algorithm showcases developed within or integrated into the
**RoboOrchardLab** framework. Our aim is to equip researchers and developers with ready-to-use tools to accelerate their work in embodied AI, facilitate benchmarking,
and demonstrate the capabilities of our framework.

Here you will find models covering a range of tasks, including (but not limited to):

* 3D Object Detection
* Vision-Language Actions (VLA)
* (Comming soon) Robotic Grasping
* Other perception and control tasks relevant to embodied agents.

We particularly highlight algorithms and models published by our team, providing a direct pathway to reproduce and extend our research contributions.

Each model entry typically includes:

* A brief **description** of the model architecture, its target task, and key features.
* **Performance metrics** achieved on standard benchmarks.
* Links to the original **paper** and official **project page** (if applicable).
* **Citation information** for proper attribution.

We are continuously working to expand this collection. Please browse the available models below. Contributions from the community are also highly encouraged!

.. toctree::
    :maxdepth: 1
    :includehidden:

    perception/index
    manipulation/index