people

I had great honor to collaborate with and mentor many curious students!

Doctoral students (PhD)

  • Alessandro Scherl, UAS Technikum Wien – University of Alicante (2026–).
  • Jelle Luijkx, Interactive Robot Skill Learning, TU Delft (2022–) — informal mentoring, supervised by Profs. Jens Kober and Laura Ferranti. Published 5 papers.
  • Marlies Mischinger, Automated Driving on Highways Using Reinforcement Learning, VIF–TU Graz (2019–2021) — supervised by Prof. Martin Fellendorf.
  • Kailin Tong, Planning for Automated Driving, VIF–TU Graz (2019–2021) — supervised by Prof. Martin Horn. Published ITSC paper.
  • Rudolf Reiter, Model Predictive Control of Autonomous Vehicles, VIF–Uni Freiburg (2019–2020) — supervised by Prof. Moritz Diehl.

Master theses (MT)

  • Karthik Swaminathan, Planning with Latent World Models, TU Delft (2026–) — co-supervised with Andreu Matoses Gimenez and Prof. Javier Alonso-Mora.
  • Peyman Shamsi, Interactively Training Flow-based VLAs, PoliTo (2026–).
  • Mirza Hasanbegović, Kinematic Design and Pattern Optimization for Adaptive Shading Systems, TH Rosenheim (2025) — ANNT PSI project.
  • Benjamin Kraljušić, Search-based Motion Planning Using Burrs of Free C-space, Uni Sarajevo (2024–2025) — with Prof. Bakir Lacevic. Accepted ICAT paper.
  • George Sotirchos, Search Inspired Reinforcement Learning, TU Delft (2024–2025) — with Prof. Jens Kober. ICAPS PlanRob WS paper, ICLR submission.
  • Sami Azirar, Partially-Observable Width-Based Search, RWTH Aachen (2024–2025) — with Profs. Hector Geffner and Sebastian Trimpe. RA-L paper.
  • Youssef Abdelhamid, Hierarchical RL for Automated Driving, RWTH Aachen (2024) — with Prof. Hector Geffner and IKA institute. Accepted ICAT paper.
  • Davor Bokan, SLOPE: Search with Learned Optimal Pruning-based Expansion, Uni Sarajevo (2023–2024) — with Prof. Bakir Lacevic. ICAPS PRL WS paper, AAAI submission.
  • Runyu Ma, Robot Learning Skills Through LLMs and RL, TU Delft (2023–2024) — with Prof. Jens Kober. Papers at RSS WS and ICRA.
  • Maarten Hugenholtz, Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models, TU Delft (2023–2024) — with Prof. Jens Kober. Under review in T-ITS.
  • Rafael Becker, Interactive Learning of Skills and Object Affordances, TU Delft (2023–2024) — with Prof. Jens Kober.
  • Eveline Drijver, Robotic Packaging Optimization with RL and Real-World Data, TU Delft (2022–2023) — with Prof. Cosimo Della Santina (BluePrint Automation, CASE paper).
  • Bhargav Adabala, Multi-heuristic Search-based Motion Planning, FH Joanneum (2018–2020) — in AVL List; workshop and conference papers.
  • Pallav Rawat, Environment Perception for Autonomous Driving, KTH Stockholm (2018) — with Prof. John Folkesson; now in Scania.

Bachelor theses (BT)

  • Leon Hamm, Tree of Thoughts Using Width-based Search, RWTH Aachen (2024–2025).
  • Baran Dello, Learning Critical Regions via Action Feasibility Constraints in Task and Motion Planning, RWTH Aachen (2024–2025).

Research assignements and projects (RA)

  • Wessel Wolterbeek Muller, Efficient Exploration in Reinforcement Learning, TU Delft (2026–).
  • Muhamed Ramić, Manipulability-Aware Design of Household Robot Assistant, ANNT PSI (2025–) — Received MEXT scholarship.
  • Hana Ćatić, Search-based Task and Motion Planning, ANNT PSI (2022–2023) — later completed MSc Robotics at EPFL; EAAI journal co-author.
  • Edo Fejzić, AI Agent for Knight’s Tour, ANNT PSI (2021–2023) — later completed MSc Data Science at Sapienza University of Rome.
  • Adna Šestić, Learning for Task and Motion Planning, ANNT PSI (2022).
  • Benjamin Kraljušić, Bi-manual Task and Motion Planning, ANNT PSI (2022) — later completed MSc Intelligent Embedded Systems at Mälardalen University, Sweden.
  • Davor Bokan, Learning to Plan, ANNT PSI (2021) — 3rd place Student Research Competition; now at Wonder Dynamics.
  • Muhamed Kurić, Sensor Fusion for Environment Perception, Uni Sarajevo (2017) — now at TU Graz.