Yasemin Bekiroğlu

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Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
Rustam StolkinChair of Robotics, UoB. Royal Society Industry Fellow. Director A.R.M Robotics Ltd.Verified email at bham.ac.uk
Mårten BjörkmanAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Miao LiAssociate Professor, Wuhan UniversityVerified email at whu.edu.cn
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Ville KyrkiAssociate Professor at Aalto UniversityVerified email at aalto.fi
Aude BillardFull Professor, EPFLVerified email at epfl.ch
Johannes A. StorkAssociate Professor of Computer Science, Örebro UniversityVerified email at oru.se
Maxime AdjigbleRobotic Engineer, University of BirminghamVerified email at adf.bham.ac.uk
Jimmy Alison JorgensenAssistant professor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Renaud DetryKU LeuvenVerified email at kuleuven.be
Robert KrugBosch Corporate ResearchVerified email at de.bosch.com
Maximo A. Roa-GarzonSenior Research Scientist, German Aerospace Center (DLR)Verified email at dlr.de
Karl PauwelsPostdoctoral Researcher, KTH Royal Institute of Technology StockholmVerified email at kth.se
Vijaykumar RajasekaranRACE, UK Atomic Energy AuthorityVerified email at ukaea.uk
Virgile HögmanPhD student, KTH Royal Institute of Technology, StockholmVerified email at kth.se
CHIE TAKAHASHIDepartment of Psychology, University of CambridgeVerified email at cam.ac.uk
Ioannis MariolisCentre for Research and Technology Hellas - Information Technologies InstituteVerified email at iti.gr
Yiannis KarayiannidisAssociate Professor, Automatic Control, LTH, Lund UniversityVerified email at kth.se
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk

Yasemin Bekiroğlu

Chalmers University of Technology, University College London (UCL)

Verified email at chalmers.se - Homepage

robotics grasping and manipulation tactile intelligence robot learning robot vision


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Assessing grasp stability based on learning and haptic data Y Bekiroglu, J Laaksonen, JA Jørgensen, V Kyrki, D Kragic IEEE Transactions on Robotics 27 (3), 616, 2011	225	2011
Enhancing visual perception of shape through tactile glances M Björkman, Y Bekiroglu, V Högman, D Kragic 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	139	2013
Learning of grasp adaptation through experience and tactile sensing M Li, Y Bekiroglu, D Kragic, A Billard 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	128	2014
Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation K Hang, M Li, JA Stork, Y Bekiroglu, FT Pokorny, A Billard, D Kragic IEEE Transactions on Robotics 32 (4), 960-972, 2016	111	2016
Towards Advanced Robotic Manipulation for Nuclear Decommissioning: A Pilot Study on Tele-Operation and Autonomy N Marturi, A Rastegarpanah, C Takahashi, R Stolkin, J Kuo, Y Bekiroglu IEEE International Conference on Robotics and Automation for Humanitarian …, 2016	77	2016
Dynamic grasp and trajectory planning for moving objects N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ... Autonomous Robots 43, 1241-1256, 2019	67	2019
Learning tactile characterizations of object-and pose-specific grasps Y Bekiroglu, R Detry, D Kragic 2011 IEEE/RSJ international conference on Intelligent Robots and Systems …, 2011	63	2011
A probabilistic framework for task-oriented grasp stability assessment Y Bekiroglu, D Song, L Wang, D Kragic 2013 IEEE International Conference on Robotics and Automation, 3040-3047, 2013	61	2013
Learning grasp stability based on tactile data and HMMs Y Bekiroglu, D Kragic, V Kyrki 19th International Symposium in Robot and Human Interactive Communication …, 2010	59	2010
What's in the container? Classifying object contents from vision and touch P Güler, Y Bekiroglu, X Gratal, K Pauwels, D Kragic 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	47	2014
Benchmarking Protocol for Grasp Planning Algorithms Y Bekiroglu, N Marturi, M Roa, M Adjigble, T Pardi, C Grimm, ... IEEE Robotics and Automation Letters (RA-L), 2019	35	2019
Analytic grasp success prediction with tactile feedback R Krug, AJ Lilienthal, D Kragic, Y Bekiroglu 2016 IEEE International Conference on Robotics and Automation (ICRA), 165-171, 2016	35	2016
Active exploration using gaussian random fields and gaussian process implicit surfaces S Caccamo, Y Bekiroglu, CH Ek, D Kragic 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	34	2016
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces S Caccamo, Y Bekiroglu, C Ek, D Kragic ArXiv, 2016	34	2016
Teaching Assembly by Demonstration using Advanced Human Robot Interaction and a Knowledge Integration Framework M Haage, G Piperagkas, C Papadopoulos, I Mariolis, J Malec, Y Bekiroglu, ... International Conference on Flexible Automation and Intelligent …, 2017	32	2017
Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration GZ Gandler, CH Ek, M Bjorkman, R Stolkin, Y Bekiroglu Robotics and Autonomous Systems, 2020	30	2020
Predicting slippage and learning manipulation affordances through gaussian process regression F Vina, Y Bekiroglu, C Smith, Y Karayiannidis, D Kragic 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013	29	2013
Integrating grasp planning with online stability assessment using tactile sensing Y Bekiroglu, K Huebner, D Kragic 2011 IEEE International Conference on Robotics and Automation, 4750-4755, 2011	27	2011
Grasp Quality Evaluation Done Right: How Assumed Contact Force Bounds Affect Wrench-Based Quality Metrics R Krug, Y Bekiroglu, MA Roa IEEE International Conference on Robotics and Automation, 2017	22	2017
Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects C de Farias, N Marturi, R Stolkin, Y Bekiroglu https://arxiv.org/abs/2103.00655, 2021	21	2021

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