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
Ville KyrkiAssociate Professor at Aalto UniversityVerified email at aalto.fi
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Aude BillardFull Professor, EPFLVerified email at epfl.ch
Miao LiAssociate Professor, Wuhan UniversityVerified email at whu.edu.cn
Johannes A. StorkAssistant Professor, Örebro UniversityVerified email at oru.se
Maxime AdjigbleRobotic Engineer, University of BirminghamVerified email at adf.bham.ac.uk
Kaiyu HangRice UniversityVerified email at rice.edu
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
Yiannis KarayiannidisAssociate Professor, Automatic Control, LTH, Lund UniversityVerified email at kth.se
Ioannis MariolisCentre for Research and Technology Hellas - Information Technologies InstituteVerified email at iti.gr

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	219	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	133	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	124	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	106	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	75	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	61	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	59	2011
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
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	57	2013
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	42	2014
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	33	2016
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces S Caccamo, Y Bekiroglu, C Ek, D Kragic ArXiv, 2016	33	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	29	2017
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
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	27	2020
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
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	26	2019
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	21	2017
Towards advanced robotic manipulation for nuclear decommissioning N Marturi, A Rastegarpanah, V Rajasekaran, V Ortenzi, Y Bekiroglu, ... Robots Operating in Hazardous Environments, 2017	18	2017

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