This project aims to enhance complex, robust, and general robot manipulation learning through inductive biases based on structured regularities in the perception/action space. The biases will be hierarchical and composed of regularities at different levels of abstraction. They will be validated in a contact-rich manipulation task using a highly capable hand/arm system with multi-modal sensors, resulting in a powerful and data-efficient learning approach.
PhD student at Robotics and Biology Laboratory, TU Berlin
2019 – 2022
M.Sc. Computer Engineering, Middle East Technical University
2014 – 2019
B.Sc. Computer Engineering, Middle East Technical University