title	layout	nav_order
Home	home	0

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). .
Finalist: Magdalena Yordanova (Humboldt University of Berlin). .
Finalist: Xiaoyi Wu (University of California San Diego). .

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](https://github.com/babybench/babybench2025_starter_kit.git){: .btn} [Learn more](about){: .btn } [Feedback form](https://github.com/babybench/babybench2025_starter_kit.git){: .btn .btn-purple}

Important dates

Submission deadline: ~~September 1, 2025~~ September 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},
}