neodyd/robocopilot-x

★ 31PythonAudience · developerComplexity · 4/5ActiveLicenseSetup · moderate

Mindmap

mindmap
  root((repo))
    What it does
      Generates ROS2 packages
      Creates launch files
      Plans motion with MoveIt2
      Describes robot bodies
    How it works
      Next.js frontend
      FastAPI backend
      LangGraph agent loop
      Template-based generation
    Use cases
      Build sensor subscribers
      Design navigation stacks
      Scaffold robot simulators
      Explain existing code
    Tech stack
      Python, FastAPI
      Next.js, TypeScript
      LangGraph, OpenAI API
      Docker Compose
    Setup
      Clone and configure
      Add API key
      Docker Compose up
      Web UI on port 3000

mindmap root((repo)) What it does Generates ROS2 packages Creates launch files Plans motion with MoveIt2 Describes robot bodies How it works Next.js frontend FastAPI backend LangGraph agent loop Template-based generation Use cases Build sensor subscribers Design navigation stacks Scaffold robot simulators Explain existing code Tech stack Python, FastAPI Next.js, TypeScript LangGraph, OpenAI API Docker Compose Setup Clone and configure Add API key Docker Compose up Web UI on port 3000

Things people build with this

USE CASE 1

Generate a complete ROS2 package with subscriber nodes that read sensor data and log it, without writing boilerplate by hand.

USE CASE 2

Create launch files that coordinate multiple robot nodes and simulators (Isaac Sim, Gazebo) with a single text request.

USE CASE 3

Scaffold motion-planning stacks using MoveIt2 or navigation behavior trees using Nav2 from a high-level description.

USE CASE 4

Summarize and understand existing robotics codebases to onboard new team members faster.

Tech stack

PythonFastAPINext.jsTypeScriptLangGraphDocker ComposeOpenAI API

Getting it running

Difficulty · moderate Time to first run · 30min

Requires an API key for an OpenAI-compatible model service (OpenAI, Azure, Ollama, vLLM, etc.) and Docker Compose to run the full stack.

Use freely for any purpose, including commercial use, as long as you include the original copyright notice and license text.

In plain English

RoboCopilot-X is an open-source AI assistant built for robotics developers, especially people working with ROS2 (a popular framework for programming robots) and the wider stack of tools around it. The pitch is that you type plain language requests, like "create a subscriber that logs the closest range from a laser scanner," and the tool turns that into runnable robotics code, project files, and configuration. The project frames itself as something like a code-completion sidekick that specifically understands robot-shaped problems instead of generic web or app code. The README lists eleven main features that are marked stable. These include a generator that produces complete ROS2 packages with the usual Python files and manifests, a composer for launch files that start several robot nodes together, scaffolders for MoveIt2 (motion planning), Nav2 (navigation behavior trees), URDF (robot body descriptions), and Isaac Sim (a robot simulator from Nvidia). It also includes a chat-style workspace UI with a code editor and file tree, an explainer that summarizes existing robotics codebases, and an agent system built on LangGraph that plans, writes, and checks code in a loop. Two more features are listed as in progress or planned: simulator-based testing of generated code, and adapters for newer vision language action robot policies. Architecturally, the project is a Next.js web frontend talking over HTTP and server-sent events to a FastAPI Python backend. The backend runs the agent orchestrator, which calls into separate generator modules that use templates to produce the actual ROS2, MoveIt2, Nav2, and Isaac Sim files. It is set up to work with any OpenAI-compatible language model service, so users can plug in OpenAI, Azure, a local Ollama install, vLLM, Together, DeepSeek, or Qwen. To run it, you clone the repo, copy the example environment file, add an API key for whichever model service you use, and start the stack with Docker Compose, which gives you the web UI on port 3000 and the API on port 8000. A local development path with separate Python and pnpm setup is also documented. The README includes a benchmark table claiming roughly 37x to 72x speed-ups against an internal intern cohort for tasks like wiring up a sensor subscriber or sketching a pick-and-place plan. The license is Apache 2.0.

Copy-paste prompts

Prompt 1

Generate a ROS2 package with a subscriber node that reads from a laser scanner topic and logs the minimum range value every second.

Prompt 2

Create a launch file that starts a robot state publisher, a move group node for MoveIt2, and an RViz visualization all together.

Prompt 3

Write a Nav2 behavior tree configuration for a robot that patrols between three waypoints and avoids obstacles.

Prompt 4

Explain what this ROS2 codebase does by analyzing its package.xml files, node definitions, and launch configurations.

Prompt 5

Scaffold an Isaac Sim integration that spawns a UR10 robot arm and a table with objects for pick-and-place simulation.

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Generated 2026-05-22 · Model: sonnet-4-6 · Verify against the repo before relying on details.