People

Vito Mengers

Doctoral Researcher

Computer Science
Robotics

TU Berlin

 

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Photo: SCIoI

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Vito Mengers

Vito Mengers

Photo: SCIoI

Vito is a doctoral researcher with SCIoI as part of Prof. Oliver Brock’s Robotics and Biology Laboratory. He received both his bachelor’s and master’s degree in Computer Engineering from TU Berlin, where he worked on robotic perception employing the structure of interconnected recursive estimators. Now, Vito is continuing to work with interconnected recursive estimators, investigating their differentiable version as a candidate principle of intelligence in SCIoI Project 35.

Projects

Vito Mengers is member of:

• Project 35: Differentiable interconnected recursive estimation as a principle of intelligence
Mengers, V., Battaje, A., & Brock, O. (2025). AICON: A Representation for Adaptive Behavior. 1st German Robotics Conference.
Mengers, V., Koenig, A., Li, X., Sieler, A., Battaje, A., & Brock, O. (2025). Stop Merging, Start Separating: Why Merging Learning and Modeling Won’t Solve Manipulation but Separating the General From the Specific Will. IEEE ICRA 25 Workshop.
Mengers, V., & Brock, O. (2024). No Plan but Everything Under Control: Robustly Solving Sequential Tasks with Dynamically Composed Gradient Descent. IEEE International Conference on Robotics and Automation (ICRA).
Mengers, V., Raoufi, M., Brock, O., Hamann, H., & Romanczuk, P. (2024). Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity. Scientific Reports, 14(1), 27314. https://doi.org/10.1038/s41598-024-78856-8
Mengers, V., Roth, N., Brock, O., Obermayer, K., & Rolfs, M. (2024). A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes. Journal of Vision, 25(6). https://doi.org/10.1167/jov.25.2.6
Pfisterer, A., Li, X., Mengers, V., & Brock, O. (2024). A Helping (Human) Hand in Kinematic Structure Estimation. IEEE International Conference on Robotics and Automation (ICRA).
Mengers, V., Battaje, A., Baum, M., & Brock, O. (2023). Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time. ICRA 2023. https://doi.org/10.1109/ICRA48891.2023.10160908

Research

An overview of our scientific work

See our Research Projects