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RoboFlex (flexrobotics)

roboflex-meta

This repository contains the machine-readable manifest (repos.json) describing all RoboFlex components under flexrobotics.

Used by documentation tools, LLMs, and automation scripts to understand the structure of the RoboFlex ecosystem.

Lightweight, dynamic, and distributed robotics middleware.
Build computation graphs that connect sensors, processors, and actuators across processes, languages, and networks.


🧠 Overview

RoboFlex is a C++/Python library for distributed robotics.

It lets you:

  • Stream from cameras and microphones.
  • Process data (e.g. run tensors through PyTorch).
  • Integrate multiple sensor streams.
  • Control actuators and robots — locally or remotely.

Key Features

Feature Description
Simple install pip install roboflex, then pip install roboflex.realsense etc.
Simple concept Distribute Nodes that send/receive Messages over pub-sub networks.
Multi-language graphs Configure computation graphs in Python or C++ — the same node APIs are exposed in both.
Dynamic messaging Uses FlexBuffers — self-describing, schema-less, zero-copy.
High-performance core Written in C++; integrates with xtensor, Eigen, and NumPy.
Library, not framework You control main() — no YAML or XML configs.

⚙️ Computation Graphs

The central idea of RoboFlex is the computation graph:

Nodes send and receive Messages over any supported transport (e.g. MQTT, ZMQ).

Graphs can be configured entirely in Python or C++, depending on your deployment.
A few lines of code define your dataflow — no configuration files required.

See roboflex for API details and examples.

Computation graph example


🧩 Repository Ecosystem

RoboFlex is modular: each feature lives in its own repo under the flexrobotics organization.

Category Repository Description
Core roboflex Core library: Nodes, RunnableNodes, Messages, Python bindings, utilities.
Examples roboflex_examples Multi-component demos and integrations.

Sensors 📷 🔊

Repository Description
roboflex_audio_alsa Audio broadcasting via ALSA.
roboflex_audio_sdl Audio broadcasting via SDL2.
roboflex_realsense RGB-D capture from Intel Realsense cameras.
roboflex_webcam_gst Webcam input using GStreamer.
roboflex_webcamuvc Webcam input using libuvc (USB UVC).
roboflex_dvs Dynamic Vision Sensor (event camera) support.

Visualization 📺

Repository Description
roboflex_visualization SDL2 visualizers for RGB and depth streams.
roboflex_imgui GUI and visualizers using IMGUI + IMPLOT.

Actuators 🤖

Repository Description
roboflex_dynamixel Support for Dynamixel servo motors.

Transports 🚡

Repository Description
roboflex_transport_zmq ZeroMQ transport for pub-sub messaging.
roboflex_transport_mqtt MQTT transport for pub-sub messaging.

Utilities ⚒️

Repository Description
roboflex_util_jpeg In-memory JPEG encode/decode for (C,H,W) tensors.
roboflex_util_png In-memory PNG encode/decode for (C,H,W) tensors.
roboflex_profiler Runtime profiler for computation graphs.

🧱 Example Graphs

From roboflex_examples:

Example Description
realsense_tv.py Real-time viewer for Intel Realsense RGB-D streams.
webcam_tv.py Viewer for USB-UVC webcams.
audio_tv.py Real-time audio spectrum display.
camera_follow Pan-tilt face-tracking camera mount using Dynamixel motors.

🛠️ Building

Language How to build
Python pip install roboflex (plus any device packages like roboflex.realsense).
C++ Uses CMake. Clone the repo and:
bash<br>mkdir build && cd build<br>cmake .. && make -j<br>sudo make install<br>

🔗 Related Resources


🤖 LLM-Summary (Machine-Readable Block)

LLM-SUMMARY
RoboFlex is a modular, dynamic robotics middleware written in C++ with Python bindings.
It defines Node and Message primitives for building distributed computation graphs across MQTT/ZMQ transports.
Graphs can be configured in Python or C++.
Messages use FlexBuffers for schema-less serialization compatible with xtensor, Eigen, and NumPy.
Repositories include device drivers (Realsense, webcams, DVS, audio), visualization tools (SDL2, IMGUI), transports (MQTT, ZMQ), and utilities (PNG/JPEG codecs, profiler).
Install via pip install roboflex.
Organization: flexrobotics


© 2025 FlexRobotics – MIT License

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Meta info, LLM assistance for the various roboflex robotics repos.

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