Ozgur S. Oguz

I’m an Asst. Prof. in the Department of Computer Engineering at Bilkent University. In my research, I focus on algorithms that can enrich the skill set of autonomous agents. This entails endowing intelligent systems with effective learning, reasoning, and planning capabilities. Robotics, and a range of other domains that require autonomous decision-making, provide a perfect test-bed for the investigation and application of such methods.

Prior to joining Bilkent U., I was a postdoctoral researcher at the Learning and Intelligence Systems Lab working with Marc Toussaint. I was affiliated with Uni Stuttgart & Max Planck Institute for Intelligent Systems, and working within the Cluster of Excellence: IntCDC. I received my PhD degree from TU Munich, where I focused on HRI in close-proximity scenarios. I studied computer science at UBC and Koç Uni, and started my research journey working on haptic interfaces.

available positions

Post-doc position is available
Motivated graduate / undergraduate students wanted. Contact me if you are interested in deep learning, (deep) perception, robotics, in general any topics in artificial intelligence. !!!

news

Sep 15, 2022	22-Fall: CS 449 / 549: Learning for Robotics course
Feb 1, 2022	22-Spring: CS 461: Artificial Intelligence course
Oct 1, 2021	Our Safe Reinforcement Learning work got accepted for publication in IEEE TNNLS - [pdf].
Apr 1, 2021	Three papers will be presented at IEEE ICRA 2021.
Mar 23, 2021	I gave a talk at Koc University.

recent work

RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning
Braun, Cornelius V., Ortiz-Haro, Joaquim, Toussaint, Marc, and Oguz, Ozgur S.
IEEE IROS 2022
[arXiv] [Bib]

@inproceedings{22-braun-IROS,
  title = {{RHH}-{LGP}: {Receding} {Horizon} {And} {Heuristics}-{Based} {Logic}-{Geometric} {Programming} {For} {Task} {And} {Motion} {Planning}},
  author = {Braun, Cornelius V. and Ortiz-Haro, Joaquim and Toussaint, Marc and Oguz, Ozgur S.},
  booktitle = {IEEE IROS},
  year = {2022},
  arxiv = {2110.03420},
  bibtex_show = {true},
  abbr = {22-braun-IROS},
  selected = {true}
}

Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly
Hartmann, Valentin Noah, Orthey, Andreas, Driess, Danny, Oguz, Ozgur S., and Toussaint, Marc
IEEE TRO - Transactions on Robotics 2022
[arXiv] [Bib]
@article{22-hartmann-TRO, title = {Long-{Horizon} {Multi}-{Robot} {Rearrangement} {Planning} for {Construction} {Assembly}}, author = {Hartmann, Valentin Noah and Orthey, Andreas and Driess, Danny and Oguz, Ozgur S. and Toussaint, Marc}, journal = {IEEE TRO - Transactions on Robotics}, arxiv = {2106.02489}, year = {2022}, bibtex_show = {true}, abbr = {22-hartmann-TRO}, selected = {true} }
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
Schubert, Ingmar, Driess, Danny, , Oguz, Ozgur S., and Toussaint, Marc
NeurIPS - Conf. on Neural Information Processing Systems 2021
[arXiv] [Bib] [Code]
@article{21-schubert-NeurIPS, title = {Learning to {Execute}: {Efficient} {Learning} of {Universal} {Plan}-{Conditioned} {Policies} in {Robotics}}, shorttitle = {Learning to {Execute}}, author = {Schubert, Ingmar and {Driess, Danny} and Oguz, Ozgur S. and Toussaint, Marc}, journal = {NeurIPS - Conf{.} on Neural Information Processing Systems}, arxiv = {2111.07908}, code = {https://github.com/ischubert/l2e}, year = {2021}, bibtex_show = {true}, abbr = {21-schubert-NeurIPS}, selected = {true} }