phosphobot 0.3.5

The AI-ready robotics dev kit, with built-in remote control and VLA support.

phosphobot – CLI Toolkit for Robot Teleoperation and Action Models

A simple, community-driven middleware for controlling robots, recording datasets, training action models.

All from your terminal or browser dashboard.

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Features

• Easy Installation via pip or the uv package manager
• Web Dashboard: Instant access to an interactive control panel for teleoperation
• Dataset Recording: Record expert demonstrations with a keyboard, in VR, or with a leader arm
• Model Training & Inference: Kick off training jobs or serve models through HTTP/WebSocket APIs

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Installation

1. Using pip

pip install phosphobot

2. Using uv

If you already use uv to manage Python versions and deps:

# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Add phosphobot to your project
uv add phosphobot

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Quick Start

Once installed, you can start the phosphobot server instantly.

# Verify installation and view info
phosphobot info

# Start the teleoperation server (default: localhost:80)
phosphobot run

# For custom port, e.g. 8080
phosphobot run --port 8080

If you’re managing via uv:

uv run phosphobot info
uv run phosphobot run

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Dashboard & Control

After launching the server, open your browser and navigate to:

http://<YOUR_SERVER_ADDRESS>:<PORT>/

By default, the address is localhost:80

Here you can:

• Teleoperate your robot via keyboard, leader arm, or Meta Quest
• Record demonstration datasets (40 episodes recommended)
• Train and deploy action models directly from the UI

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Start building

• Docs: Full user guide at https://docs.phospho.ai
• Discord: Join us on Discord for support and community chat: https://discord.gg/cbkggY6NSK
• GitHub Repo: https://github.com/phospho-app/phosphobot
• Examples: Browse the examples
• Contribute: Open a PR to expand the examples, support more robots, improve the tool

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Adding a New Robot

You can extend phosphobot by plugging in support for any custom robot. Just follow these steps:

1. Clone the phosphobot repo and fetch submodules. Make sure you have git lfs installed beforehand

   git clone https://github.com/phospho-app/phosphobot.git
   cd phosphobot
   git submodule update --init --recursive
   

2. Install uv to manage python dependencies. The recommended python version for dev is 3.10

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

3. Install nvm and Node.js. We recommend to manage Node versions via nvm.

   # Install nvm
   curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash
   

   Then restart your terminal and verify:

   command -v nvm   # should output: nvm
   

   Finally, install the latest Node.js:

   nvm install node   # “node” is an alias for the latest version
   

4. Build the app. From the repo root, run:

   make
   

5. Create your robot driver

   1. In the directory phosphobot/phosphobot/hardware add a new file, e.g. my_robot.py. Inside, define a class inheriting from BaseRobot:

      from phosphobot.hardware.base import BaseRobot
      
      class MyRobot(BaseRobot):
          def __init__(self, config):
              super().__init__(config)
              # Your initialization here
      
          ... # Implement the BaseRobot's abstract methods here
      

      We use pybullet as a robotics simulation backend. Make sure to add your robot's urdf in phosphobot/resources/urdf.

6. Make your robot detectable Open phosphobot/phosphobot/robot.py and locate the RobotConnectionManager class. Make sure your robot can be detected.

Build and run the app again and ensure your robot gets detected and can be moved. Happy with your changes? Open a pull request! We also recommend you look for testers on our Discord.

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License

MIT License

Made with 💚 by the Phospho community.