
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 |
+--------------------------+ +-----------------------------+
インストール
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