Ozgur S. Oguz

Ozgur S. Oguz is an Assistant Professor at Bilkent University, Faculty of Computer Engineering, and the lead of the Learning for Intelligent Robotic Agents (LiRA) Lab. His research focuses on enhancing autonomous agents' capabilities in learning, reasoning, and planning, particularly for robotics applications.

• Education: PhD in Computer Science from TU Munich, studies at University of British Columbia (UBC) and Koç University, postdoctoral work at University of Stuttgart and Max Planck Institute for Intelligent Systems.

His research explores algorithms for autonomous decision-making, with emphasis on deep learning, reinforcement learning, and robotics. Recent work includes diffusion-based reinforcement learning, hindsight experience prioritization, and hybrid manipulation planning, often addressing challenges in sequential task execution and tactile-based control.

Key trends in his publications revolve around robotic manipulation, motion planning, and human-robot interaction. He has contributed to conferences like NeurIPS, ICRA, IROS, and journals such as IEEE TRO and Scientific Reports.