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About
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Rumarino Autonomy Stack is an open-source software stack for autonomous vehicles, developed by Rumarino.
A Research and Development team of the University of Puerto Rico at Mayaguez. We are a group of students
with a passion for robotics and autonomy, dedicated to advancing the state of the art in autonomous vehicle technology.

This repository contains the core building blocks for building an underwater autonomous vehicle, including perception,
planning, control, and simulation components.

Something that you will find in this repository is a collection of ideas and integrations of what we think is how these type of systems should be built.
The team originated from a desire to build an autonomous underwater vehicle for the RoboSub competition. We have gained experienced in the field of autonomy and robotics through our
participation in the competition. Many of our core Developers are students from the University and thanks to to this experience we have been able to build a
strong foundation and experience in the field of autonomy and software development. If you want to learn about our core developer team check out our website: https://rumarino.com/ and our GitHub:

As far as we know, we are the first Open Source AUV project, that have all the necessary components to build, test and deploy an AUV.
With many of the components being developed by us, and some of them being integrations of other open source projects.

In comparison to other open source AUV projects, like BlueOS, uuv_simulator, ardusub. We have a more complete software stack,

Where a lot of this projects are very good at either, control systems, navigations, simulations. None of them offer a full solution to the
problems of building an AUV,

Some of the features that we offer in our code are:
- A stack that is fully integrated in Simulations and hardware, so that debugging in both environments is easy and seamless.
- A stack that Integrates a lot of pherifheral plugins or standlone applications so that Iterations are faster and easier.
- A Modern view of AI integrations in robotics, with a focus on performance ad real time applications.
- A team