PUBLICATIONS

[1]
Alejandro Suárez-Hernández, Thierry Gaugry, Javier Segovia-Aguas, Antonin Bernardin, Carme Torras, Maud Marchal, and Guillem Alenyà. Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case. In IEEE ICRA, page submitted, 2020. [ bib ]
[2]
Jakob J. Hollenstein, Erwan Renaudo, and Justus Piater. Improving exploration of deep reinforcement learning using planning for policy search. In Submitted to International Conference on Learning Representations, 2020. under review. [ bib | http ]
[3]
E. Ugur and H. Girgin. Compliant parametric dynamic movement primitives. Robotica, 2019. [ bib | http ]
[4]
M. Imre, E. Oztop, Y. Nagai, and E. Ugur. Affordance-based altruistic robotic architecture for human-robot collaboration. Adaptive Behavior, 27(4):223--241, 2019. [ bib | doi ]
[5]
M.Y. Seker, A.E. Tekden, and E. Ugur. Deep effect trajectory prediction in robot manipulation. Robotics and Autonomous Systems, 119:173--184, 2019. [ bib | doi | http ]
[6]
M.Y. Seker, M. Imre, J. Piater, and E. Ugur. Conditional neural movement primitives. In Robotics: Science and Systems (RSS), Freiburg, Germany, 2019. [ bib | doi ]
[7]
Mert Imre and M.Yunus Seker ve Emre Ugur. Object manipulation learning via conditional neural movement primitives. In Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2019. poster publication, best poster award. [ bib ]
[8]
Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, and Justus Piater. Action representations in robotics: A taxonomy and systematic Classification. International Journal of Robotics Research, 2019. [ bib | doi ]
[9]
You Zhou, Jianfeng Gao, and Tamim Asfour. Learning via-point movement primitives with inter- and extrapolation capabilities. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. [ bib ]
[10]
Alejandro Suárez-Hernández, Guillem Alenyà, and Carme Torras. Practical Resolution Methods for MDPs in Robotics Exemplified with Disassembly Planning. IEEE Robotics and Automation Letters, 4(3):2282--2288, 2019. presented at ICRA 2019. [ bib | doi | http ]
[11]
Antonio Andriella, Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, and Guillem Alenyà. Natural teaching of robot-assisted rearranging exercises for cognitive training. In 11th International Conference on Social Robotics, page to appear. Springer, 2019. [ bib ]
[12]
Alejandro Suárez-Hernández, Antonio Andriella, Aleksandar Taranović, Javier Segovia-Aguas, Carme Torras, and Guillem Alenyà. Automatic Learning of Cognitive Exercises for Socially Assistive Robotics. In IEEE ICRA, page submitted, 2019. [ bib ]
[13]
Antonin Bernardin, Christian Duriez, and Maud Marchal. An interactive physically-based model for active suction phenomenon simulation. In Proc. of International Conference on Intelligent Robots and Systems (IROS). IEEE/RJS, 2019. [ bib ]
[14]
Romain Lagneau, Alexandre Krupa, and Maud Marchal. Active deformation through visual servoing of soft objects. In Technical Report: paper submitted to ICRA 2020, 2019. [ bib ]
[15]
Felix Hundhausen, Cornelius Klas, and Tamim Asfour. Kit multifunctional robotics gripper (v2). Technical report, Karlsruhe Institute of Technology, 2019. [ bib ]
[16]
Erwan Renaudo, Philipp Zech, and Justus Piater. Ades -- autonomous learning of effects and effects models. Technical report, University of Innsbruck, 2019. [ bib ]
[17]
Timo Lueddecke and Florentin Woergoetter. Fine-grained action plausibility rating. Robotics and Autonomous Systems, 2019. Submitted. [ bib ]
[18]
Woergoetter F. Yildiz E. Pose estimation of 2d recognized parts using pointcloud and mesh processing. Technical report, Georg-August University of Goettingen, 2019. [ bib ]
[19]
Erenus Yildiz and Florentin Wörgötter. Dcnn-based screw detection for automated disassembly processes. In SITIS(2019), the 15th International Conference on Signal Image Technology and Internet based Systems, 2019. [ bib ]
[20]
Woergoetter F. Yildiz E. Visual detection of gaps in disassembly routines using stereo-vision. Technical report, Georg-August University of Goettingen, 2019. [ bib ]
[21]
Fabio Ferreira, Lin Shao, Tamim Asfour, and Jeannette Bohg. Learning visual dynamics models of rigid objects using relational inductive biases. In NeurIPS 2019 Graph Representation Learning Workshop, pages 0--0, 2019. [ bib | http ]
[22]
H. Girgin and E. Ugur. Associative skill memory models. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 6043--6048, Madrid, Spain, 2018. [ bib | doi ]
[23]
Júlia Borràs, Raphael Heudorfer, Samuel Rader, Peter Kaiser, and Tamim Asfour. The kit swiss knife gripper for disassembly tasks: A multi-functional gripper for bimanual manipulation with a single arm. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4590--4597, 2018. [ bib ]
[24]
Júlia Borràs, Raphael Heudorfer, Samuel Rader, Peter Kaiser, and Tamim Asfour. The KIT Swiss Knife Gripper for Disassembly Tasks: A Multi-Functional Gripper for Bimanual Manipulation with a Single Arm. IEEE Robotics and Automation Letters (RA-L), 2018. Submitted. [ bib ]
[25]
Hakan Girgin and Emre Ugur. Parametrik dinamik motor primitifleri. In Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2018. [ bib ]
[26]
M. Yunus Seker, Erhan Cagirici, and Emre Ugur. Sekil baglami kullanarak eylem-etki tahmini. In Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2018. [ bib ]
[27]
Ahmet E. Tekden and Emre Ugur. Kaldirma aksiyonuyla olusan yorungenin uzun kisa donem hafiza modeliyle tahmini. In Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2018. [ bib ]
[28]
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, and Florentin Wörgötter. Symbol Emergence in Cognitive Developmental Systems: a Survey. IEEE Transactions on Cognitive and Developmental Systems, 2018. doi: 10.1109/TCDS.2018.2867772. [ bib | http ]
[29]
Alejandro Suarez-Hernandez, Guillem Alenya, and Carme Torras. Interleaving Hierarchical Task Planning and Motion Constraint Testing for Dual-Arm Manipulation. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4061--4066. IEEE, 10 2018. [ bib | doi | http ]
[30]
R. Kartmann, F. Paus, M. Grotz, and T. Asfour. Extraction of physically plausible support relations to predict and validate manipulation action effects. IEEE Robotics and Automation Letters (RA-L), 3(4):3991--3998, 2018. [ bib ]
[31]
Hakan Girgin and Emre Ugur. Towards generalizable associative skill memories. In ICRA Workshop on Learning and control for autonomous manipulation systems: the role of dimensionality reduction, 2017. [ bib | doi | http ]
[32]
Simon Hangl, Sebastian Stabinger, and Justus Piater. Autonomous Skill-centric Testing using Deep Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 95--102, Piscataway, NJ, 8 2017. IEEE. [ bib | doi | pdf ]
[33]
Philipp Zech, Simon Haller, Safoura Rezapour Lakani, Barry Ridge, Emre Ugur, and Justus Piater. Computational models of affordance in robotics: a taxonomy and systematic classification. Adaptive Behavior, 25(5):235--271, 9 2017. [ bib | doi | pdf ]