ICRA2026-modern-software-tools

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ICRA2026-modern-software-tools

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Resources for the ICRA2026 Keynote Tutorial "Title: Building, running and deploying modern software tools for robotics"

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# Building, running and deploying modern software tools for robotics

* ICRA2026 Keynote Tutorial 3 (was 4)
* When: Wednesday, 3 June 15:00 to 16:30 (90 minutes)
* Where: Strauss 1-2

# Important links

On the day, go to the tutorial landing page

<https://petercorke.github.io/ICRA2026-modern-software-tools/>

and from there you get access to all the resources we'll use in the session.

We will use [mentimeter](https://www.menti.com/al8np6e1en7t) to capture questions from the floor, and we'll do our best to answer them.  It might be convenient to use your phone for questions, so point it here

# Tutorial structure

## Beyond Fragments: A Unified Python Ecosystem for Robotics, Vision, and Control; Peter (45 minutes)

Head over to Peter's [README](peter/README.md).

## From Research Code to Running Systems: Cross-Platform Robotics and ML Workflows; Tobi (45 minutes)

### Locally running Tobi's presentation (recommended!)
To follow Tobi's Part 2 presentation locally:

1. Install [pixi](https://pixi.sh):
- On Unix (Linux/MacOS): `curl -fsSL https://pixi.sh/install.sh | sh`
- On Windows:
`powershell -ExecutionPolicy ByPass -c "irm -useb https://pixi.sh/install.ps1 | iex"`
- Make sure to restart your shell after installation!

2. Run `pixi run presentation` within this directory in a terminal.

### Run Tobi's presentation on GitHub codespaces

1. From the repository page, select the Code button.
2. Instead of cloning the repository to your local machine, select the Codespaces tab.
  - Do not open the Codespace using the default configuration. Some examples may not run correctly with the default resource allocation.
  - Instead, select: "New with options". Recommended configuration: 8 cores as a minimum recommended option or 16 cores for best performance, where available
3. After selecting the machine type, create the Codespace. GitHub will open a cloud-based VS Code environment and automatically begin setting up the development environment for the repository. The Codespace setup process will install and configure the required dependencies, including pixi, which is used to manage the software environment.
4. Running Graphical Examples. Some examples use graphical output. These will run in a dedicated graphical window within the Codespace environment. For graphical displays, open `vnc_lite.html`.
5. Notes
  - The initial setup may take several minutes, particularly when using the repository for the first time.
  - If graphical examples do not appear, check the VNC display through vnc_lite.html. The link to the port can also be found through the ports tab, under Codespaces desktop.
  - On first attach, the presentation also auto-starts once in the container. To trigger that one-time startup again, remove `~/.cache/icra2026_presentation_autostarted` in the Codespace.

## Abstract

Robotics is powered by software. The tools we use shape the pace of innovation in research, drive
growth in industry, and underpin the education of future developers. This hands-on tutorial presents
a modern view of robotics software through live coding examples.

We begin with open-source Python toolboxes for robotics, machine vision, and spatial mathematics,
illustrating how they enable clear abstractions and rapid prototyping of complex systems. We then
show how these tools can be executed, shared, and extended across major platforms and even in the
browser using Pixi and the conda-forge ecosystem.

Participants will see how robotics frameworks such as ROS and machine learning frameworks such as
PyTorch can be composed into portable workflows, reducing setup overhead and enabling
reproducible experimentation and large-scale benchmarking, including applications such as SLAM.

This tutorial equips attendees to move from fragmented research code to robust, running systems
that can be deployed across platforms, from phones to high-performance computing environments,
and readily extended by others.

## Format

We have 90 minutes, and we'll take half each.

* Peter: Beyond Fragments: A Unified Python Ecosystem for Robotics, Vision, and Control

* Tobi: From Research Code to Running Systems: Cross-Platform Robotics and ML Workflows

We will be demonstrating tools: what they do, how to use them, and how to install them.  Lots of terminal time, not so much Powerpoints.

The room we've been allocated seats 470 so it might be a big crowd. We will use [mentimeter](https://www.menti.com/al8np6e1en7t) to capture questions from the floor and we'll do our best to answer them.

## Presenters

![Cartoon of Peter and Tobi](https://raw.github.com/petercorke/ICRA2026-modern-software-tools/main/figs/peter+tobi.png)

**Peter Corke** is a robotics researcher, educator, and open-source creator. He
is a distinguished professor emeritus at Queensland University of
Technology; a fellow of the IEEE and has held many editorial roles. He wrote
the best selling textbook “Robotics, Vision, and Control”, now in its third
edition; created robotics and vision Toolboxes for Python; and has won
international recognition for teaching, including the 2025 Engelberger
Award for Education.

**Tobias Fischer** is a Senior Lecturer and ARC DECRA Fellow at the Queensland
University of Technology, working on robotic perception and localisation,
including in marine environments. He is a strong advocate for open-source
robotics and reproducible research, developing cross-platform software
workflows that integrate robotics and machine learning. He is a Fellow of
the IET, Senior Member of the IEEE, Associate Editor for the IEEE Robotics
and Automation Letters, and co-chair of the IEEE-RAS Women in Engineering
committee.

## Additional resources
### Repositories
- [Machine Vision Toolbox for Python](https://github.com/petercorke/machinevision-toolbox-python)
- [Robotics Toolbox for Python](https://github.com/petercorke/robotics-toolbox-python)
- [Spatial Maths for Python](https://github.com/rai-opensource/spatialmath-python)
- [bdsim: Block Diagram Simulation for Python](https://github.com/petercorke/bdsim)
- [RoboStack](https://robostack.github.io/) - currently providing ros-noetic, ros2-humble, ros2-jazzy, ros2-kilted and ros2-rolling
- [Pixi](https://pixi.sh)

### Papers and books
- [Robotics, Vision and Control Fundamental Algorithms in Python](https://doi.org/10.1007/978-3-031-06469-2)
- [Not your grandmother’s toolbox – the Robotics Toolbox reinvented for Python](https://doi.org/10.1109/ICRA48506.2021.9561366), IEEE International Conference on Robotics and Automation (ICRA) 2021
- [A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems
](https://doi.org/10.1109/MRA.2021.3128367), IEEE Robotics & Automation Magazine (Volume: 29, Issue: 2, June 2022)
- [Pixi: Unified Software Development and Distribution for Robotics and AI](https://arxiv.org/abs/2511.04827), arXiv:2511.04827
- [ROS2WASM: Bringing the Robot Operating System to the Web](https://doi.org/10.1109/ICRA55743.2025.11127821), IEEE International Conference on Robotics and Automation (ICRA) 2025
- [VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets](https://arxiv.org/abs/2504.04457), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

## Acknowledgements
Tobi would like to thank the fantastic team at [prefix.dev](https://prefix.dev/) for the great work on Pixi over the last few years, and the nice and productive collaboration. He also thanks all contributors to [RoboStack](https://robostack.github.io/), and in particular Silvio Traversaro for his never-ending support. Tobi acknowledges partial support from the [QUT Centre for Robotics](https://qcr.ai/) and an ARC DECRA Fellowship DE240100149.

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