Püren Güler

I am a post-doctoral researcher at Mobile Robotics and Olfaction Lab (MR&O) at Örebro University. I am working in Tracking and Control of Articulated Machines through Remote Sensing (TracMac) project that is about estimating the state of articulated manipulators using remote depth sensing measurements.

I completed my Ph.D. on June 2017 in Robotics, Perception and Learning Lab at KTH Royal Institute of Technology where I mainly worked on deformable object manipulation. Before coming to Sweden, I obtained my bachelor degree in computer science in 2009 and master degree in information systems in 2012 from Bilkent University and Middle East Technical University, respectively, in Turkey.

Google scholar profile

Contact

Dr. Püren Güler

AASS Research Centre
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T1220
Phone +46 (0)19 30 34 99
puren.guler@oru.se

Publications

Journal Articles

[1]	P. Güler, J. A. Stork and T. Stoyanov. Visual state estimation in unseen environments through domain adaptation and metric learning. Frontiers in Robotics and AI, 9, 2022 [ BibTeX \| DiVA ]
[2]	V. E. Arriola-Rios, P. Güler, F. Ficuciello, D. Kragic, B. Siciliano and J. L. Wyatt. Modeling of Deformable Objects for Robotic Manipulation : A Tutorial and Review. Frontiers in Robotics and AI, 7, 2020 [ BibTeX \| DiVA ]

Refereed Conference and Workshop Articles

[1]	P. Güler, A. Pieropan, M. Ishikawa and D. Kragic. Estimating deformability of objects using meshless shape matching. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5941-5948, 2017 [ BibTeX \| DiVA ]

Find the complete BibTeX record here.