Foto von Bare Luka Zagar

Bare Luka Zagar

Curriculum Vitae

Bare Luka Žagar is a Ph.D. candidate currently working in the Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich (TUM). He completed his B.Sc. and M.Sc. in Control Engineering and Automation at the University of Zagreb (Faculty of Electrical Engineering and Computing). He wrote his Master thesis on the topic of "Autonomous Mobile Robot System for Building 3D Thermal Model of the Environment".

Before starting at TUM, he worked for more than two years in the industry as a robotics engineer, which gave him wide practical experience and knowledge in the field of robotics. His further research interests include fundamental computer vision tasks, such as point cloud-based object detection and segmentation, point cloud registration, mesh generation, surface reconstruction, and more.


Open Thesis Topics

If you are interested in researching trending topics in the field of computer vision and pattern recognition:

  • Object detection
  • Segmentation
  • Tracking
  • Surface reconstruction
  • Mesh generation
  • Text-to-image generation
  • Domain adaptation of synthetic data

then please contact me bare.luka.zagar@tum.de.


Publications

2022

  • Josifovski, Josip; Malmir, Mohammadhossein; Klarmann, Noah; Žagar, Bare Luka; Navarro-Guerrero, Nicolás; Knoll, Alois: Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 more… BibTeX Full text (mediaTUM)
  • Zagar, Bare Luka; Yurtsever, Ekim; Peters, Arne; Knoll., Alois C.: Point Cloud Registration with Object-Centric Alignment. IEEE Access, 2022, 1-1 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
  • Žagar, Bare Luka; Preintner, Tobias; Knoll, Alois C.; Yurtsever, Ekim: Real-Time Instance Segmentation of Pedestrians using Transfer Learning*. 2022 27th International Conference on Automation and Computing (ICAC), 2022 more… BibTeX Full text (mediaTUM)

2021

  • Cop, Konrad P.; Peters, Arne; Žagar, Bare L; Hettegger, Daniel; Knoll, Alois C: New Metrics for Industrial Depth Sensors Evaluation for Precise Robotic Applications. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 more… BibTeX Full text (mediaTUM)