Oliver Brock

Principal Investigator


TU Berlin



Phone: +49 30 314 73111


Photo: SCIoI

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Oliver Brock

Oliver Brock

Photo: SCIoI

Oliver Brock represents the synthetic discipline robotics. He has extensive experience in building real-world robotic systems, contributing also to related disciplines, including perception and machine learning. Within the fields of robotics, he is a leader in leveraging collaborations with analytical disciplines, in particular psychology and behavioral biology, to work towards an understanding of embodied intelligence.


Oliver Brock is member of Project 02, Project 04, Project 17, Project 22, Project 28, Project 30, Project 35, Project 43, Project 49, Project B1, Project S2.

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. SAB 2022.
Baum, M., & Brock, O. (2022). “The World Is Its Own Best Model”: Robust Real-World Manipulation Through Online Behavior Selection. ICRA 2022.
Bhatt, A., Sieler, A., Puhlmann, S., & Brock, O. (2021). Surprisingly Robust In-Hand Manipulation: An Empirical Study. Proceedings of Robotics: Science and Systems.
Morik, M., Rastogi, D., Jonschkowski, R., & Brock, O. (2019). State Representation Learning with Robotic Priors for Partially Observable Environments. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6693–6699.
Puhlmann, S., Harris, J., & Brock, O. (2022). RBO Hand 3 – A Platform for Soft Dexterous Manipulation. IEEE Transactions on Robotics.
Stahl, K., Graziadei, A., Dau, T., Brock, O., & Rappsilber, J. (2023). Protein structure prediction with in-cell phot-crosslinking mass spectrometry and deep learning. Nature Biotechnology.
Godinez, A., Battaje, A., Brock, O., & Rolfs, M. (2023). Probing Perceptual Mechanism of Shape-Contingent Color after-Images via Interconnected Recursive Filters. Journal of Vision 23 / VSS 2023.
Wall, V., Zöller, G., & Brock, O. (2023). Passive and Active Acoustic Sensing for Soft Pneumatic Actuators. The International Journal of Robotics Research.
Battaje, A., & Brock, O. (2022). One Object at a Time: Accurate and Robust Structure From Motion for Robots. IROS 2022.
Wall, V., & Brock, O. (2019). Multi-Task Sensorization of Soft Actuators Using Prior Knowledge. 2019 International Conference on Robotics and Automation (ICRA), 9416–9421.
Li, X., & Brock, O. (2022). Learning from Demonstration Based On Environmental Constraints. IEEE Robotics and Automation Letters with IROS Option.
Battaje, A., & Brock, O. (2021). Interconnected Recursive Filters in Artificial and Biological Vision. DGR Days 2021, 32–32.
Patidar, S., Sieler, A., & Brock, O. (2023). In-Hand Cube Reconfiguration: Simplified. IROS 2023.
Baum, M., Froessl, A., Battaje, A., & Brock, O. (2023). Estimating the Motion of Drawers From Sound. ICRA 2023.
Sieler, A., & Brock, O. (2023). Dexterous Soft Hands Linearize Feedback-Control for In-Hand Manipulation. IROS 2023.
Mengers, V., Battaje, A., Baum, M., & Brock, O. (2023). Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time. ICRA 2023.
Li, X., Baum, M., & Brock, O. (2023). Augmentation Enables One-Shot Generalization In Learning From Demonstration for Contact-Rich Manipulation. IROS 2023.
Páll, E., & Brock, O. (2021). Analysis of Open-Loop Grasping From Piles. IEEE International Conference on Robotics and Automation (ICRA), 2591–2597.
Battaje, A., Brock, O., & Rolfs, M. (2023). An Interactive Motion Perception Tool for Kindergarteners (and Vision Scientists). IPerception.
Wall, V., & Brock, O. (2022). A Virtual 2D Tactile Array for Soft Actuators Using Acoustic Sensing. IROS 2022.
Zöller, G., Wall, V., & Brock, O. (2020). Active Acoustic Contact Sensing for Soft Pneumatic Actuators. 2020 IEEE International Conference on Robotics and Automation (ICRA), 7966–7972.
Baum, M., & Brock, O. (2021). Achieving Robustness in a Drawer Manipulation Task by using High-level Feedback instead of Planning. DGR Days.
Pannen, T. J., Puhlmann, S., & Brock, O. (2022). A Low-Cost, Easy-to-Manufacture, Flexible, Multi-Taxel Tactile Sensor and its Application to In-Hand Object Recognition. IEEE International Conference on Robotics and Automation (ICRA).


An overview of our scientific work

See our Research Projects