Learn Robotics
Module: Build And Share

Contributing to Open Source

How to contribute to the robotics open-source community — finding projects, making pull requests, writing documentation, and sharing your own work.

8 min read

Contributing to Open Source

Most robot software is built on open-source foundations: OpenCV, Gazebo, MoveIt, and many middleware frameworks. Thousands of developers contribute drivers, algorithms, and tools that everyone uses.

You've learned how to build robot software. Now let's explore how to give back — and why it matters.

Why Contribute?

Open source isn't just altruism. Contributing helps you:

  • Learn faster — code reviews from experts teach you best practices
  • Build credibility — public contributions are proof of your skills
  • Shape tools you use — fix that annoying bug, add that missing feature
  • Network — meet people working on cutting-edge robotics
  • Help others — your camera driver might save someone else weeks of work

And for the ecosystem:

  • Shared code means less duplication of effort
  • More eyes on code means fewer bugs
  • Diverse contributors lead to better, more robust software

Finding Projects to Contribute To

Where do you start?

1. Use What You Love

The best contributions come from fixing problems you actually encounter. If you use a library daily, you'll notice bugs, missing docs, or rough edges that others might miss.

2. Start Small

Don't jump into rewriting a path planner. Start with:

  • Documentation — fix typos, clarify confusing sections, add examples
  • Bug reports — file detailed issues with reproduction steps
  • Tests — add test cases for uncovered edge cases
  • Good first issues — many projects tag beginner-friendly tasks

3. Explore Popular Projects

Robotics has a rich open-source ecosystem:

ProjectWhat It DoesGood For
Gazebo3D simulatorPhysics, rendering, sensors
MoveItMotion planningArm control, path planning
Nav2Navigation stackMobile robot navigation
OpenCVComputer visionImage processing, algorithms
PCLPoint cloud libraryLiDAR processing, 3D vision

Check their GitHub repos for "good first issue" or "help wanted" labels.

Making Your First Pull Request

Here's the typical workflow:

1. Fork and Clone

Fork the repository

2. Create a Branch

Create a feature branch
Tip

Good commit messages explain why, not just what. "Fix bug" is vague. "Fix timestamp overflow in camera driver by using int64 instead of int32" tells reviewers what changed and why it matters.

3. Push and Open a Pull Request

Push your changes

Then on GitHub:

  1. Click "Compare & pull request"
  2. Write a clear description:
    • What problem does this solve?
    • How did you test it?
    • Are there breaking changes?
  3. Link to related issues (e.g., "Fixes #1234")
  4. Submit and wait for review

4. Address Feedback

Maintainers may request changes. Don't take it personally — code review makes everyone better.

Update your PR

Once approved, the maintainer merges your PR. Congratulations, you're an open-source contributor!

Warning

Always follow the project's contributing guide (usually CONTRIBUTING.md). Some projects require signing a CLA (Contributor License Agreement), running specific tests, or following a style guide. Read the docs before submitting.

Sharing Your Own Work

You can also publish your own packages for others to use.

1. Choose a License

Without a license, your code is legally "all rights reserved" — nobody can use it. Pick an open-source license:

  • MIT — permissive, allows commercial use
  • Apache 2.0 — permissive, includes patent protection
  • GPL — copyleft, requires derived works to also be open source
  • BSD — permissive, similar to MIT

For robotics, Apache 2.0 is common. MIT is simpler and more permissive.

2. Write a README

Your README should include:

  • What the package does (one-sentence summary)
  • Installation instructions
  • Quick start example
  • Link to documentation
  • How to contribute
  • License

3. Publish to a Registry

Publish to a package registry

Now anyone can install your package with pip install your-package or cargo add your-package.

Community Norms

Open-source communities thrive on respect and collaboration:

  • Be kind — everyone is learning
  • Give credit — acknowledge others' work
  • Ask questions — but search first (check docs, issues, forums)
  • Share knowledge — answer questions, write tutorials
  • Respect maintainers' time — they're often volunteers

What's Next?

You've completed Module 9: Build & Share. You now know how to package software, configure and launch systems, test robustly, deploy to real robots, and contribute to the open-source ecosystem.

The robotics community is built on collaboration. Share your work, help others, and keep learning. The next breakthrough might come from code you write or a bug you fix.

Welcome to the community. Let's build the future of robotics together.

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