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Action Plugins

The Action Plugins are core components of OM1. These plugins map high-level decisions from one or more LLMs into concrete physical or digital actions (e.g. moving a robot or generating speech). This page covers the architecture of a typical Action Plugin, the available action types, and how actions are connected to different hardware and software platforms. Code

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Action Orchestrator

The Action Orchestrator is the central component that orchestrates the execution of actions. It manages the states, promise queue, and threads for each action. Code

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Movement (Zenoh)

This plugin is an example of how to use Zenoh to send movement commands to a TurtleBot 4.

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Movement (Unitree SDK)

This plugin is an example of how to directly connect to the Unitree python SDK to send movement commands to a Go2 EDU.

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Speech and TTS

The Speech and TTS action plugin allows agents to speak using with a text-to-speech (TTS) system. Code

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Adding New Actions

Each action consists of:
  1. Interface (interface.py): Defines input/output types.
  2. Implementation (implementation/): Business logic, if any. Otherwise, use passthrough.
  3. Connector (connector/): Code that connects OM1 to specific virtual or physical environments, typically through middleware (e.g. custom APIs, ROS2, Zenoh, or CycloneDDS)
actions/
└── move_{unique_hardware_id}/
    ├── interface.py      # Defines MoveInput/Output
    ├── implementation/
    │   └── passthrough.py
    └── connector/
        ├── ros2.py       # Maps OM1 data/commands to hardware layers and robot middleware
        ├── zenoh.py
        └── unitree.py
In general, each robot will have specific capabilities, and therefore, each action will be hardware specific. For example, if you are adding support for the Unitree G1 Humanoid version 13.2b, which supports a new movement subtype such as dance_2, you could name the updated action move_unitree_g1_13_2b and select that action in your unitree_g1.json configuration file.