Fido
A lightweight C++ machine learning library designed for embedded electronics and robotics applications.
What is Fido?
Fido is a lightweight C++ machine learning library specifically designed for embedded electronics and robotics applications. It provides a modular framework for implementing machine learning algorithms in resource-constrained environments, solving the problem of running AI on embedded hardware. The library includes a robotic simulator and easy interfaces for robotic drivers.
Robotics engineers, embedded systems developers, and researchers working on machine learning applications for resource-constrained hardware like microcontrollers and robotic platforms.
Developers choose Fido for its minimal C++ implementation optimized for embedded systems, integrated robotic simulator, and specialized focus on robotics applications where traditional ML libraries are too heavy.
Overview
A lightweight C++ machine learning library for embedded electronics and robotics.
Use Cases
Best For
- Implementing machine learning on microcontrollers and embedded processors
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