Oliver Brock

TU Berlin, Robotics – SCIoI Spokesperson
phone: +49 30 314 73111

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.

At SCIoI, Oliver Brock is working on Project 02, Project 04, Project 17, Project 22, Project 28, Project 30, Project 35, Project 43, Integration.

 

 

SCIoI Publications:

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. https://doi.org/10.1109/ICRA40945.2020.9196916
Wall, V., Zöller, G., & Brock, O. (2023). Passive and Active Acoustic Sensing for Soft Pneumatic Actuators. The International Journal of Robotics Research. https://doi.org/10.1177/02783649231168954
Wall, V., & Brock, O. (2019). Multi-Task Sensorization of Soft Actuators Using Prior Knowledge. 2019 International Conference on Robotics and Automation (ICRA), 9416–9421. https://doi.org/10.1109/ICRA.2019.8793697
Wall, V., & Brock, O. (2022). A Virtual 2D Tactile Array for Soft Actuators Using Acoustic Sensing. IROS 2022. https://doi.org/10.1109/IROS47612.2022.9981225
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. https://doi.org/10.1038/s41587-023-01704-z
Sieler, A., & Brock, O. (2023). Dexterous Soft Hands Linearize Feedback-Control for In-Hand Manipulation. IROS 2023. https://arxiv.org/abs/2308.10691
Puhlmann, S., Harris, J., & Brock, O. (2022). RBO Hand 3 – A Platform for Soft Dexterous Manipulation. IEEE Transactions on Robotics. https://doi.org/10.48550/arXiv.2201.10883
Patidar, S., Sieler, A., & Brock, O. (2023). In-Hand Cube Reconfiguration: Simplified. IROS 2023. https://arxiv.org/abs/2308.12178
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). https://doi.org/10.48550/arXiv.2111.09687
Páll, E., & Brock, O. (2021). Analysis of Open-Loop Grasping From Piles. IEEE International Conference on Robotics and Automation (ICRA), 2591–2597. https://doi.org/10.1109/ICRA48506.2021.9561065
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. https://doi.org/10.1109/IROS40897.2019.8967938
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.
Li, X., & Brock, O. (2022). Learning from Demonstration Based On Environmental Constraints. IEEE Robotics and Automation Letters with IROS Option. https://doi.org/10.1109/LRA.2022.3196096
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. https://doi.org/10.1167/jov.23.9.4885
Bhatt, A., Sieler, A., Puhlmann, S., & Brock, O. (2021). Surprisingly Robust In-Hand Manipulation: An Empirical Study. Proceedings of Robotics: Science and Systems. https://doi.org/10.15607/RSS.2021.XVII.089
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. https://doi.org/10.1007/978-3-031-16770-6_6
Baum, M., Froessl, A., Battaje, A., & Brock, O. (2023). Estimating the Motion of Drawers From Sound. ICRA 2023.
Baum, M., & Brock, O. (2021). Achieving Robustness in a Drawer Manipulation Task by using High-level Feedback instead of Planning. DGR Days. http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/baum21DGR.pdf
Baum, M., & Brock, O. (2022). “The World Is Its Own Best Model”: Robust Real-World Manipulation Through Online Behavior Selection. ICRA 2022. https://doi.org/10.1109/ICRA46639.2022.9811845
Baum, M., & Brock, O. (2021). Achieving Robustness in a Drawer Manipulation Task by using High-level Feedback instead of Planning. DGR Days, 29–29. https://www.tu.berlin/robotics/forschung/publikationen?tx_publications_pi1%5Baction%5D=show&tx_publications_pi1%5Bpublication%5D=36135&cHash=2590ecf473bc6062b0fc47691159660a#c197246
Battaje, A., Brock, O., & Rolfs, M. (2023). An Interactive Motion Perception Tool for Kindergarteners (and Vision Scientists). IPerception. https://doi.org/10.1177/20416695231159182
Battaje, A., & Brock, O. (2021). Interconnected Recursive Filters in Artificial and Biological Vision. DGR Days 2021, 32–32. https://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/battaje21DGR.pdf
Battaje, A., & Brock, O. (2022). One Object at a Time: Accurate and Robust Structure From Motion for Robots. IROS 2022. https://doi.org/10.1109/IROS47612.2022.9981953