Manuel Baum
Photo: SCIoI
Manuel Baum joined SCIoI as a PhD researcher in January 2020. His background is in cognitive informatics and intelligent systems, with a focus on task-directed exploration, interactive perception, robotics, and biological manipulation.
At SCIoI, under the supervision of Prof. Oliver Brock, he studied how robots and animals gather the information they need to solve complex physical tasks. His work compared how cockatoos and robots explore and solve mechanical puzzles.
His doctoral thesis, Robustness in Robotic and Biological Manipulation, completed in 2024, investigates how robust manipulation emerges in both robotic and biological systems.
Projects
Manuel Baum is member of:
Publications +
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19797
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Baum, M., Rössler, T., Osuna-Mascaró, A. J., Auersperg, A., & Brock, O. (2024). Mechanical Problem Solving in Goffin’s Cockatoos—Towards Modeling Complex Behavior. Adaptive Behavior, 32(6), 551–562. https://doi.org/10.1177/10597123241270764
Baum, M. (2024). Robustness in robotic and biological manipulation [Technische Universität Berlin]. https://doi.org/10.14279/DEPOSITONCE-22259
Baum, J., Eiserbeck, A., Maier, M., & Abdel Rahman, R. (2024). The evaluation of presumed deepfakes with different basic emotional expressions depends on valence [Poster]. Psychologie und Gehirn.
Li, X., Baum, M., & Brock, O. (2023). Augmentation Enables One-Shot Generalization in Learning from Demonstration for Contact-Rich Manipulation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3656–3663. https://doi.org/10.1109/IROS55552.2023.10341625
Eiserbeck, A., Maier, M., Baum, J., & Abdel Rahman, R. (2023). Deepfake smiles matter less—the psychological and neural impact of presumed AI-generated faces. Scientific Reports, 13(1), 16111. https://doi.org/10.1038/s41598-023-42802-x
Mengers, V., Battaje, A., Baum, M., & Brock, O. (2023). Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time. 2023 IEEE International Conference on Robotics and Automation (ICRA), 683–689. https://doi.org/10.1109/ICRA48891.2023.10160908
Baum, M., Froessl, A., Battaje, A., & Brock, O. (2023). Estimating the Motion of Drawers From Sound. 2023 IEEE International Conference on Robotics and Automation (ICRA), 697–703. https://doi.org/10.1109/ICRA48891.2023.10161399
Eiserbeck, A., Maier, M., Baum, J., & Abdel Rahman, R. (2023). When the philosophical zombie smiles at you – believing a face to be computer-generated affects perception and emotional processing [Poster]. 26th meeting of the Association for the Scientific Study of Consciousness (ASSC26).
Baum, M., & Brock, O. (2022). “The World Is Its Own Best Model”: Robust Real-World Manipulation Through Online Behavior Selection. 2022 International Conference on Robotics and Automation (ICRA), 1499–1505. https://doi.org/10.1109/ICRA46639.2022.9811845
Baum, M., Schattenhofer, L., Rössler, T., Osuna-Mascaró, A., Auersperg, A., Kacelnik, A., & Brock, O. (2022). Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents. In L. Cañamero, P. Gaussier, M. Wilson, S. Boucenna, & N. Cuperlier (Eds.), From Animals to Animats 16 (Vol. 13499, pp. 67–78). Springer International Publishing. https://doi.org/10.1007/978-3-031-16770-6_6
Baum, M., & Brock, O. (2021). Achieving Robustness in a Drawer Manipulation Task by using High-level Feedback instead of Planning. Proceedings of the DGR Days, 29–29.
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