Robots · Sensors and cameras

DroneSimLab UE4 camera bridge

DroneSimLab UE4 camera bridge, adapted from orig74/dronesimlab. It runs capture_image. capture_image: capture a single image from a named camera with a declared resolution and exposure and return an image artifact reference. A simulator: the market serves it with a stand-in that needs no simulator install.

simulatedRisk R0MITcontract_checkedserved on the fake backend
openai4s lab add robots/orig74__dronesimlab

Install

Three ways to run this device. Each one serves its fake backend: no instrument, no simulator install and no upstream checkout.

OpenAI4S (one command)

shell
openai4s lab add robots/orig74__dronesimlab

Installs the device into the OpenAI4S Lab on its fake backend and starts it. First time? See setup below.

Or, in the workbench, open the Lab tab → Market → Install.

Standalone MHS endpoint

shell
git clone --depth 1 https://github.com/PKU-YuanGroup/OpenMHS.git && cd OpenMHS
PYTHONPATH=MHS/sdk/src python3 -m mhs serve robots/orig74__dronesimlab --port 7400
# in a second terminal, from the same directory:
PYTHONPATH=MHS/sdk/src python3 -m mhs describe --endpoint http://127.0.0.1:7400

Serves the device as an MHS endpoint on port 7400 from an OpenMHS clone (Python 3.10 or later, standard library only); describe prints what it offers.

Any MCP host (Claude Desktop, Cursor, …)

mcp configuration
{
  "mcpServers": {
    "dronesimlab": {
      "command": "python3",
      "args": [
        "-m",
        "mhs",
        "serve",
        "robots/orig74__dronesimlab",
        "--mcp"
      ],
      "env": {
        "PYTHONPATH": "/path/to/OpenMHS/MHS/sdk/src"
      }
    }
  }
}

Add this server to the host's MCP configuration and replace /path/to/OpenMHS with the path of your OpenMHS clone. The host starts the server and talks to it on stdin and stdout.

What it does

Measures

Nothing declared.

Adjusts

Nothing declared.

Actions

capture_image
Capture a single image from a named camera with a declared resolution and exposure and return an image artifact reference.

Names as the driver declares them. Units, limits and the safety declaration are in the package's REFERENCE.md.

First-time setup

The OpenAI4S workbench with the OpenMHS lab, from a source checkout:

shell
# OpenAI4S workbench with the OpenMHS lab (source checkout)
git clone --recursive https://github.com/PKU-YuanGroup/OpenAI4S.git
cd OpenAI4S && ./setup.sh && source .venv/bin/activate
openai4s lab add robots/orig74__dronesimlab
openai4s serve        # open the Lab tab

The standalone endpoint and the MCP server need only an OpenMHS clone and Python 3.10 or later. More in the market's getting-started guide and on the OpenAI4S host page.

Source and evidence

Pinned commit
211c94319c52
Licence
MIT
Stars
159
Evidence
contract_checked on the fake backend
Backends
fake

The driver package MHS/drivers/robots/orig74__dronesimlab wraps the upstream code at the pinned commit. Its REFERENCE.md documents the full contract: every value, action, unit, limit and the safety declaration.