Burcu Kılıç

I am a master's student in Computer Engineering at Middle East Technical University, where I work with Assoc. Prof. Emre Ugur at ROMER. My research interests lie at the intersection of robot learning, reinforcement learning, and learned abstractions for planning.

I received my B.Sc. in Computer Engineering from Bogazici University, where I was a research assistant in the Cognitive Learning and Robotics (CoLoRs) Lab. I also studied at KTH Royal Institute of Technology as an exchange student and worked as a visiting researcher at the University of Innsbruck with Justus Piater.

I am interested in how robots can acquire useful skills and compact representations from interaction data, then use those representations for decision-making and planning.

Burcu Kılıç

Publications

See also Google Scholar.

Learned symbolic and dynamics models for bilevel planning

Bilevel Planning with Learned Symbolic Abstractions from Interaction Data

Fatih Dogangün, Burcu Kılıç, Serdar Bahar, Emre Ugur

RA-L 2026IEEE Robotics and Automation Letters (RA-L) · 2026

IROS 2026 RoBoWoMo Workshop (Best Paper Award)

Planning with jointly discovered object and action symbols

Joint Discovery of Object and Action Symbols through Effect Prediction for Robotic Manipulation Planning

Burcu Kılıç, Berke Kartal, Fatih Dogangün, Erhan Oztop, Emre Ugur

arXiv 2026Preprint · 2026

Education

Experience

Selected highlights. See my CV for more details.

Middle East Technical University

Sep 2026 – Present

Graduate Research Assistant · Ankara, Türkiye

  • Conducting research with Assoc. Prof. Emre Ugur at ROMER.

PragmaCraft

Apr 2026 – Jul 2026

Data Scientist · Istanbul, Türkiye

  • Developed document search and retrieval-augmented generation features for Answie.

MYTH AI

Aug 2025 – Sep 2025

Computer Vision Intern · Istanbul, Türkiye

  • Built garment-compositing pipelines using depth estimation, segmentation, and OpenCV.

University of Innsbruck

Jun 2025 – Aug 2025

Visiting Researcher · Innsbruck, Austria

  • Implemented Decision Transformer in PyTorch and studied RL methods on D4RL and OGBench.

MTU Aero Engines

Jun 2024 – Sep 2024

Machine Learning Intern · Munich, Germany

  • Developed LLM-based agentic systems with LangChain in Azure ML.
  • Built PostgreSQL-backed dashboards and applied data analysis and forecasting.

ModaMind

Jul 2023 – Jan 2024

AI Developer · Istanbul, Türkiye

  • Fine-tuned Stable Diffusion with LoRA and ControlNet for virtual-fashion applications.
  • Developed retrieval-augmented generation pipelines with Llama and GPT models.