CV
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This CV — both the version shown here and the downloadable PDF — is automatically generated from the content of this website and rebuilt whenever new work is added.
Contact Information
| Name | Vito Mengers |
| Professional Title | PhD Student in Robotics & Interdisciplinary Intelligence Research |
| v.mengers@tu-berlin.de |
Professional Summary
My research centers on interconnected recursive estimators—systems that continuously refine internal models based on sensory input. Initially explored for robust robotic perception, I demonstrated that these estimators can also drive action selection through gradient descent. This tight coupling of perception and action lets intelligent agents both react adaptively to environmental changes and actively probe their surroundings to improve perception. Beyond robotics, I study these systems as a model for biological behavior, showing that the same architecture can capture processes such as human visual attention (e.g., scanpath generation in natural videos) and collective behavior. The resulting systems are rich, robust, and explainable, offering insight into the interactions between recursive modules—both as computational tools and as models of cognitive mechanisms.
Experience
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2021 - Berlin, Germany
Research Assistant
Robotics and Biology Lab (Oliver Brock) -- TU Berlin
Developing computational models of intelligent behavior for robots. Furthermore, involved in teaching of multiple masters-level courses on robotics.
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2021 - Berlin, Germany
PhD Student Member
Research Cluster "Science of Intelligence"
Developing computational models of intelligent behavior in biology. Furthermore, involved in organization of multiple interdisciplinary projects, events, as well as being part in the ethics committee of the cluster.
Education
Awards and Scholarships
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2025 IEEE ICRA Best Paper Award on Planning and Control
Finalist for Best Paper (Overall), Best Student Paper, and Best Paper on Robot Learning.
Vito Mengers & Oliver Brock, No Plan but Everything under Control - Robustly Solving Sequential Tasks with Dynamically Composed Gradient Descent“For challenging the planning paradigm by introducing a feedback-driven method that solves sequential tasks through continuous adaptation.”
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2018 Studienstiftung des deutschen Volkes Scholarship (4 years)
Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation)
Prestigious German national scholarship awarded to highly talented students demonstrating exceptional academic achievement and societal commitment.
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2016 Deutschlandstipendium Scholarship (2 years)
Deutschlandstipendium (awarded by TU Berlin, financed by the German Federal Government, Siemens, and CARIAD)
Merit-based scholarship awarded for excellent academic performance and potential, funded jointly by the German Federal Government and private industry partners.
Academic Service
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2026 Berlin, Germany
Submissions Chair & Publication Chair
18th International Conference on the Simulation of Adaptive Behavior (SAB 2026)
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2025 Atlanta, GA, USA
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2023 Berlin, Germany
Co-Organizer -- Responsible for Poster Sessions
SCIoI & ISAB Summerschool
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2022 Berlin, Germany
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Regular Reviewer
IEEE International Conference on Robotics and Automation (ICRA), Robotics Science and Systems (RSS), International Conference on Simulation of Adaptive Behavior (SAB), IEEE Robotics and Automation Letters (RAL), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Conference on Robot Learning (CoRL)