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bilalileri/echopilot---ollama---px4---mcp

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Speak to your drone! EchoPilot is a voice-controlled agent that leverages Ollama for local LLM power, generating complex PX4 missions via LangGraph.

概要

Ever wanted to talk to your drone like you're in a sci-fi movie? EchoPilot makes it happen. This open-source project bridges the gap between natural language and autonomous flight, allowing you to command a drone simply by speaking. At its core, EchoPilot uses a powerful, local Large Language Model (LLM) to automatically generate complex mission plans from a single voice command. Unlike solutions relying on external APIs, EchoPilot processes your commands right on your system, offering enhanced privacy and control. These plans are then executed by a robust set of tools running as a background service, communicating via the Model Context Protocol (MCP). https://www.youtube.com/watch?v=-IVD1Tpn5w0&ab_channel=Bilal%C4%B0leri - Command the drone with complex sentences like, "takeoff, fly to the Eiffel tower, orbit it, and then return to launch." - The LLM acts as an intelligent flight officer, automatically creating a safe and logical sequence of tool calls based on your voice command.

README

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🚁 EchoPilot: A Voice-Controlled Drone Agent

Ever wanted to talk to your drone like you’re in a sci-fi movie? EchoPilot makes it happen. This open-source project bridges the gap between natural language and autonomous flight, allowing you to command a drone simply by speaking.

At its core, EchoPilot uses a powerful, local Large Language Model (LLM) to automatically generate complex mission plans from a single voice command. Unlike solutions relying on external APIs, EchoPilot processes your commands right on your system, offering enhanced privacy and control. These plans are then executed by a robust set of tools running as a background service, communicating via the Model Context Protocol (MCP).

https://www.youtube.com/watch?v=-IVD1Tpn5w0&ab_channel=Bilalİleri

✨ Features

  • Natural Language Control: Command the drone with complex sentences like, “takeoff, fly to the Eiffel tower, orbit it, and then return to launch.”
  • Automatic Mission Planning: The LLM acts as an intelligent flight officer, automatically creating a safe and logical sequence of tool calls based on your voice command.
  • Decoupled Tool Server: Drone capabilities run as an independent MCP Server in the background, making the system modular and easy to extend.
  • Local & Offline First: Designed to run primarily with a local LLM via Ollama and offline Text-to-Speech (pyttsx3), giving you full control without constant internet access.
  • Telemetry-Verified Execution: This isn’t fire-and-forget. The drone’s tools use real-time telemetry to confirm actions are physically complete—it waits for the drone to actually arrive at a location before proceeding.
  • Safe by Design: The Planner-Executor model ensures predictable behavior. The agent generates a full plan, which can be reviewed before the drone ever takes off.

🛠️ Architecture: The Brain-Hand-Voice Model

This project’s power comes from its decoupled, three-part architecture, connected by the Multi-Server Control Protocol (MCP).

+--------------------------+           +-----------------------------+
|    Drone Agent (Brain)   |           |    Tool Server (Hands)      |
|      (drone_agent.py)    |           |     (drone_server.py)       |
|--------------------------|           |-----------------------------|
| - Listens for Voice      |           | - Runs as a background      |
| - Uses LLM to create     |--(MCP)--> |   process (MCP Server)      |
|   a JSON mission plan    |           | - Exposes tools like        |
|   (a sequence of tools)  |           |   'fly_to_coordinates'      |
| - Executes plan step by  |           | - Talks to drone via MAVSDK |
|   step                   |           | - Verifies actions w/ telemetry |
+--------------------------+           +-----------------------------+
GitHub で README 全文を見る

インストール

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