ECER 2026
ECER 2026 hosted teams from Austria, China and the United States in five different competitions, including Botball. The Aerial Challenge was organized in cooperation with robo4you.
ECER 2026 was made possible through the edu.WEITgoesECER+AI project, powered by the Austrian Federal Ministry of Education.
Papers & Resources
Highlighted papers were selected for presentation
-
Hardware and Ambient Variability in Botball Robots: Analysis and Mitigation
Mario Scholze
Download Paper -
IMU Calibration and Orientation Estimation on the Wombat Educational Robot
Tobias Madlberger, Matthias Greil
Download Paper -
Shape and Color Recognition Using a Logitech Camera and AI in Botball Robotics
Maxmilian Murrer, Selina Schösswender, Celina Wallner, Alexander Langreiter, Alexander Mayr, Philipp Mayr
Download Paper -
Replacing Botball Kit Parts with 3D Prints
Alexander Gugumuck, Julian Nedal, Sebastian Lampl, Niklas Wagner, Raphael Wiedemann, Moritz Hortschitz
Download Paper -
Fallback Strategies for Handling Sensor Failure in Botball
Thomas Schweiger, Maja Schorf
Download Paper -
Comparing Traditional Computer Vision to AI-based Computer Vision for Object Detection
Martin Lindner, Tünde Moger, Rüzgar Gündüz, Paul Langer, Florian Bayer, Philipp Barabas
Download Paper -
Extending the Wombat Controller with an Arduino Microcontroller
Jovan Vujičić, Franziska Ebner
Download Paper -
Adapting Industrial Technology for Botball Robotics
Frederick Rohrhofer, Dennis Zöger, Bernd Vastag-Siklósy, Ben Van-Ysendyck, Onur Tonbul, Ramazan Aslan
Download Paper -
Cooperative Collision Avoidance in Multi-Agent Systems for Autonomous Educational Robotics
Maximilian Paesold
Download Paper -
When Do Multi-Agent LLM Systems Outperform Single-Agent Approaches? An Empirical Comparison Across Different Task Types
Valentyn Hvozdenko, Heorhii Shoilytsia, Yehor Hliebov, Andrii Pavloskyi, Tobias Heindl, Artur Pimenov
Download Paper -
Raspberry Pi Robotics Extension Board
Christian Kargl, Peter Strommer, Christoph Hackl, Moritz Klein, Manuel Bichl
Download Paper -
MathGraph: A Domain-Specific Language and Visualization Environment for Graph-Based Planning on a Single Botball Robot
Tymofii Nosov
Download Paper -
Improving Robot Coordination Using a Shared Game State
Amir Elmesiry, Florian Kummerer, Christina Schönthaler, Vanja Drakulic
Download Paper -
Synthetic Data for Vision-Based Lane and Stripe Segmentation
Lukas Rennhofer, Matteo Prader
Download Paper