Thank you for joining the first BabyBench Competition at ICDL 2025 in Prague! We would greatly appreaciate your feedback. Click here to fill out a quick survey.
Results
- Winner: Lucas Yang (University College London), Daniela Corbetta (The University of Tennessee), and Lorenzo Jamone (University College London). Download certificate.
- Finalist: Magdalena Yordanova (Humboldt University of Berlin). Download certificate.
- Finalist: Xiaoyi Wu (University of California San Diego). Download certificate.
BabyBench 2025 Competition
BabyBench is a Multimodal Benchmark of Infant Behaviors for Developmental Artificial Intelligence. The objective is to teach typical developmental behaviors to MIMo, a multimodal infant model. We provide the embodiment, the simulation environments, and the evaluation metrics; all you need is to implement your ideas.
The first BabyBench Competition will take place at the IEEE ICDL 2025 Conference in Prague! The topic of this first edition will be how infants discover their own bodies. Can you help MIMo learn two typical infant behaviors: self touch and hand regard?
Download the code Learn more Feedback form
Important dates
- Submission deadline:
September 1, 2025September 8, 2025 - Winner announcement at ICDL: September 19, 2025
Why Participate?
- Winning team will receive a €150 prize
- All finalists will receive a certificate at the IEEE ICDL
- Contribute to the Developmental AI community!
BibTex
@misc{lopez2025babybench,
title={BabyBench: A Multimodal Benchmark of Infant Behaviors for Developmental AI},
author={Francisco M. López and Valentin Marcel and Xavier Hinaut and Jochen Triesch and Matej Hoffmann},
year={2025},
}
