SCIoI Alumni

Aravind Battaje

Doctoral Researcher

Robotics

TU Berlin

 

Email:

 

Photo: SCIoI

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Aravind Battaje

Aravind Battaje

Photo: SCIoI

Aravind Battaje is a PhD student with SCIoI and a member of the Robotics and Biology Laboratory. His research interest is in the intersection of robotics, computer vision, machine learning/optimization, and neuroscience. At SCIoI, he works on robotic interactive perception, and plans to develop perceptual information processing systems that can inform and get informed by visual processing principles in humans. Aravind received his MS from Georgia Tech, Atlanta, where he worked with Byron Boots on developing part of perception stack for AutoRally – a platform for experimenting with aggressive autonomous driving. Before that, he worked as a Computer Vision engineer for Advanced Driver Assistance Systems at Robert Bosch. At SCIoI, Aravind Battaje is working on Project 02, “Capabilities and consequences of recursive, hierarchical information processing in visual systems.”


Projects

Aravind Battaje is member of:


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Battaje, A., Hanning, N., Brock, O., & Rolfs, M. (2025). Depth and Interaction Modulate Color Aftereffects in Virtual Reality [Poster]. European Conference on Visual Perception (ECVP).
Mengers, V., Battaje, A., & Brock, O. (2025). AICON: A Representation for Adaptive Behavior. 1st German Robotics Conference (GRC).
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. International Conference on Robotics & Automation (ICRA) Workshop: Learning Meets Model-Based Methods for Contact-Rich Manipulation.
Battaje, A., Godinez, A., Hanning, N. M., Rolfs, M., & Brock, O. (2024). An Information Processing Pattern from Robotics Predicts Unknown Properties of the Human Visual System. bioRxiv. https://doi.org/10.1101/2024.06.20.599814
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
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
Battaje, A., Brock, O., & Rolfs, M. (2023). An interactive motion perception tool for kindergarteners (and vision scientists). I-Perception, 14(2), 20416695231159182. https://doi.org/10.1177/20416695231159182
Godinez, A., Battaje, A., Brock, O., & Rolfs, M. (2023). Probing perceptual mechanism of shape-contingent color after-images via interconnected recursive filters. In Journal of Vision [Poster]. Vision Science Society Annual Meeting (VSS). https://doi.org/10.1167/jov.23.9.4885
Battaje, A., & Brock, O. (2022). One Object at a Time: Accurate and Robust Structure From Motion for Robots. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3598–3603. https://doi.org/10.1109/IROS47612.2022.9981953
Battaje, A., & Brock, O. (2021). Interconnected Recursive Filters in Artificial and Biological Vision. Proceedings of the DGR Days, 32–32.

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