semvec/pypi-packages huggingface dataset:
roxbot 4.1.0
Pythonic robotics toolkit
License: MIT
Requires Python: >=3.11

# ROXBOT - a Pythonic robotics toolkit

## What is this?

Project `roxbot` is a handbook for robotcs developers. It is intended as a knowledge base, providing a series of examples, reusable library code and tips and tricks for building robotic systems.
Common use case is an AGV, navigating with an RTK-GPS module.

## Project roadmap

see [roadmap discussion](https://github.com/rox-automation/roxbot/discussions/2)

**Note:** watch this repository to be notified about updates. (we don't do spammy mailing lists)

## Quick start

* [documentation](https://rox-automation.github.io/roxbot)
* [read the blog](https://rox-automation.github.io/roxbot/blog)
* [join discussion](https://github.com/rox-automation/roxbot/discussions)
* [join the project!](https://rox-automation.github.io/roxbot/contributing)


## What about ROS?

Well, ROS2 has some nice concepts, but it can be complex and complicated. Besides, ROS is C++ centric, which makes it a bit old-fashioned. Another shortcoming is a large codebase that has not been widely tried and tested in real world applications.

## Key principles


* **KISS (keep it simple, stupid)**: - let's make robotics easier by reducing complexity.
* **Less Code Equals Fewer Problems:** - keep codebase small and portable. "*Code is not an asset but a [liability](https://wiki.c2.com/?SoftwareAsLiability)*"
* **Don't reinvent the wheel** - leverage robust existing technologies. Think of `asyncio`, `Docker` etc.


## Concepts

ROXBOT takes familiar ideas from ROS2 and makes them easier to use and more Python-friendly:

- **Nodes**: These are small, focused classes that perform specific tasks within the robotics application. For example, one Node might manage sensor data while another controls a motor.

- **Interfaces**: These are standardized formats that ensure consistent data exchange between Nodes. This makes it easy for different parts of your project to communicate and work together effectively.

- **Subsystems**: This term refers to a group of Nodes that work together to perform a broader function like motion control or data logging. These subsystems can be packaged into Docker containers for easy deployment and scaling.

- **System**: This is the complete set of subsystems working together as a whole, forming a fully functional robotic system. We manage these as a Docker stack to ensure they are robust and scalable.


## Classes overview

images are found in `docs/uml`

run `invoke uml` to update.