Publications

[J]: Journal, [C]: International Conference, [NJ]: National Journal [NC]: National Conference, [WS]: Workshop

Under Review

[J21] Tugce Akkoc Basgol, Emre Ugur, Inci Ayhan, Trick the Body Trick the Mind: Avatar representation affects the perception of available action possibilities in Virtual Reality. pdf video
[J20] Hamit Basgol, Inci Ayhan, Emre Ugur, Psychological, Computational and Robotic Models of Time Perception. link pdf
[J19] Melisa Idil Sener, Yukie Nagai, Erhan Oztop, Emre Ugur, Intrinsic Motivation in Object-Action-Outcome Blending Latent Space. pdf

2020

[J18] E. Ugur, H. Girgin, Compliant Parametric Dynamic Movement Primitives, Robotica, 38(3), pp. 457-474, 2020. pdf video link
[C33] Akbulut et al., ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Conference on Robot Learning (CoRL), 2020. pdf video
[C32] A. E. Tekden, A. Erdem, E. Erdem, M. Imre, M.Y. Seker, E. Ugur, Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects, International Conference on Robotics and Automation (ICRA), 2020 accepted. pdf video
[C31] O.B. Ozturkcu, E. Ugur, E. Oztop, High-level representations through unconstrained sensorimotor learning, IEEE International Conference on Development and Learning (ICDL), 2020. pdf
[NJ3] Serkan Bugur, Emre Ugur, Computational Modeling of Object-Directed Action Prediction Development, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2020 accepted.
[NJ2] M. Tuluhan Akbulut, Emre Ugur, Learning Object Affordances from Sensory-Motor Coordination Using Latent Space and Bayesian Networks, International Journal of Intelligent Systems and Applications in Engineering, 2020 accepted.
[NJ1] Utku Bozdogan, Emre Ugur, Learning from Multiple Demonstrations With Different Modes of Operations, International Journal of Intelligent Systems and Applications in Engineering, 8(1), pp. 37-44, 2020. pdf link
[NC8] Hamit Basgol, Emre Ugur, Insan Görsel Karmasıklık Kararlarının Derin Ögrenme ile Tahmin Edilmesi, 28nd Signal Processing and Communications Applications Conference (SIU), 2020. pdf
[W16] E. Ugur, E. Samur, B. Ugurlu, D. E. Barkana, A. Kucukyilmaz, and O. Bebek, Intelligent control of exoskeletons through a novel learning-from-demonstration method, CYBATHLON Symposium, 2020 Poster presentation.
[W15] A. Ahmetoglu, Y. Seker, E. Oztop, M. Asada, Emre Ugur, Locally Weighted CNMPs for Generating Flexible Action Sequences, Winter Workshop on Mechanism of Brain and Mind, 2020 Poster presentation.
[W14] Hamit Basgol, Inci Ayhan, Emre Ugur, A Computational Model of Event Segmentation and Learning, International Virtual Symposium on Brain and Cognitive Science, 2020 Poster presentation.
[W13] M. Yunus Seker, Erhan Oztop, Mete Tuluhan Akbulut, Yukie Nagai, Minoru Asada, Emre Ugur, Towards a Mirror Neuron System via Dual Channel Conditional Neural Movement Primitives, ICRA Brain-PIL Workshop, New advances in brain-inspired perception, interaction and learning, ICRA , 2020 Poster presentation.

2019

[J17] S. Bugur, E. Oztop, Y. Nagai, E. Ugur, Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration, IEEE Transactions on Cognitive and Developmental Systems, 2019. pdf link
[J16] M.Y. Seker, A.E. Tekden, E. Ugur, Deep Effect Trajectory Prediction in Robot Manipulation, Robotics and Autonomous Systems, 119, pp. 173-184, 2019. pdf video link
[J15] M. Imre, E. Oztop, Y. Nagai, E. Ugur, Affordance-Based Altruistic Robotic Architecture for Human-Robot Collaboration, Adaptive Behavior, 27(4), pp. 223-241, 2019. pdf video link
[J14] E. Ugur, H. Girgin, Compliant Parametric Dynamic Movement Primitives, Robotica, 2019. pdf video link
[J13] T. Inamura, H. Yokoyama, E. Ugur, X. Hinaut, M. Beetze, T. Taniguchi, Section focused on machine learning methods for high-level cognitive capabilities in robotics, Advanced Robotics, 33(11), pp. 537-538, 2019. pdf link
[C30] M.Y. Seker, M. Imre, J. Piater, E. Ugur, Conditional Neural Movement Primitives, Robotics: Science and Systems (RSS), 2019. pdf video
[C29] B. Ugurlu, M. Acer, D. E. Barkana, I Gocek, A. Kucukyilmaz, Y. Z. Arslan, H. Basturk, E. Samur, E. Ugur, R. Unal, O. Bebek, A Soft+Rigid Hybrid Exoskeleton Concept: A Suit for Human State Sensing and an Exoskeleton for Assistance, International Conference on Rehabilitation Robotics (ICORR), 2019. pdf
[NC8] Mert Imre, M. Yunus Seker, Emre Ugur, Sartlı Sinirsel Motor Primitifleri ile Obje Manipülasyonu Ögrenimi, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2019 poster. pdf
[NC7] Hamit Basgol, Emre Ugur, Zaman Algisina Iliskin Hesaplamalı Modeller ve Bilissel Robotbilim Modelleri, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2019. pdf
[NC6] Serkan Bugur, Erhan Oztop, Emre Ugur, Nesne-Odaklı Eylem Tahmini Gelisimi Icin Hesaplamalı Model, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), 2019. pdf

2018

[J12] L. Jamone, E. Ugur, A. Cangelosi, L. Fadiga, A. Bernardino, J. Piater, J. Santos-Victor, Affordances in psychology, neuroscience and robotics: a survey, IEEE Transactions on Cognitive and Developmental Systems, 10(1), pp. 4-25, 2018. pdf link
[J11] L. Jamone, E. Ugur, J. Santos-Victor, Guest Editorial Special Issue on Affordances, IEEE Transactions on Cognitive and Developmental Systems, 10(1), pp. 1-3, 2018. pdf link
[J10] T. Taniguchi, E. Ugur, M. Hoffmann, L. Jamone, T. Nagai, B. Rosman, T. Matsuka, N. Iwahashi, E. Oztop, J. Piater, F. Worgotter, Symbol Emergence in Cognitive Developmental Systems: a Survey, IEEE Transactions on Cognitive and Developmental Systems, 2018. pdf link
[C28] H. Girgin, E. Ugur, Associative Skill Memory Models, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6043-6048, 2018. pdf video link
[C27] A.E. Tekden, E. Ugur, Y. Nagai, E. Oztop, Modeling the Development of Infant Imitation using Inverse Reinforcement Learning, Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pp. 155-160, 2018. pdf
[C26] M.I. Sener, E. Ugur, Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems, Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pp. 54-59, 2018. pdf
[NC5] M.I. Sener, E. Ugur, Icsel Motivasyon Sistemlerinde Ogrenme Uzayinin Tahmin Edilebilirlik Prensibiyle Bolunmesi, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), pp. 164-169, 2018. pdf
[NC4] A.E. Tekden, E. Ugur, Kaldirma Aksiyonuyla Olusan Yorungenin Uzun Kisa Donem Hafiza Modeliyle Tahmini, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), pp. 206-211, 2018. pdf
[NC3] M.Y. Seker, E. Cagirici, E. Ugur, Sekil Baglami Kullanarak Eylem-Etki Tahmini, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), pp. 176-181, 2018. pdf
[NC2] H. Girgin, E. Ugur, Parametrik Dinamik Motor Primitifleri, Turkiye Robotbilim Konferansi (Turkish Robotics Conference), pp. 224-229, 2018. pdf
[W12] S. Bugur, Y. Nagai, E. Oztop, E. Ugur, A Computational Model For Action Prediction Development, ICDL Workshop on Workshop on Continual Unsupervised Sensorimotor Learning, 2018.

2017

[J9] P. Zech, S. Haller, S. R. Lakani, B. Ridge, E. Ugur, J. Piater, Computational Models of Affordance in Robotics: A Taxonomy and Systematic Classification, Adaptive Behavior, 25(5), pp. 235-271, 2017. pdf link
[J8] E. Ugur, J. Piater, Emergent structuring of interdependent affordance learning tasks using intrinsic motivation and empirical feature selection, IEEE Transactions on Cognitive and Developmental Systems, 9(4), pp. 328-340, 2017. pdf link
[J7] S. Hangl, E. Ugur, J. Piater, Autonomous robots: potential, advances and future direction, e \& i Elektrotechnik und Informationstechnik, 134(6), pp. 293-298, 2017. pdf link
[W11] H. Girgin, E. Ugur, Towards Generalizable Associative Skill Memories, ICRA Workshop on Learning and control for autonomous manipulation systems: the role of dimensionality reduction, 2017.

2016

[C25] S. Krivic, E. Ugur, J. Piater, A Robust Pushing Skill For Object Delivery Between Obstacles, 12th Conference on Automation Science and Engineering ({CASE}), pp. 1184-1189, 2016. pdf
[C24] S. Hangl, E. Ugur, S. Szedmak, J. Piater, Robotic playing for hierarchical complex skill learning, Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, pp. 2799-2804, 2016. pdf
[CH2] J. Piater, E. Ugur, Roboter fur Menschen — Menschen fur Roboter, Körperphantasien: Technisierung — Optimierung — Transhumanismus, pp. 75-86, 2016. pdf

2015

[J6] E. Ugur, Y. Nagai, H. Celikkanat, E. Oztop, Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills, Robotica, 33(05), pp. 1163-1180, 2015. pdf
[J5] E. Ugur, Y. Nagai, E. Sahin, E. Oztop, Staged development of robotic skills: Organizing sensorimotor space for behavior formation, affordance learning and imitation with motionese, IEEE Transactions on Autonomous Mental Development, 7(2), pp. 119-139, 2015. pdf
[C23] B. Ridge, E. Ugur, A. Ude, Comparison of Action-Grounded and Non-Action-Grounded 3-D Shape Features for Object Affordance Classification, International Conference on Advanced Robotics (ICAR), pp. 635-641, 2015. pdf
[C22] S. Hangl, E. Ugur, S. Szedmak, A. Ude, J. Piater, Reactive, Task-specific Object Manipulation by Metric Reinforcement Learning, International Conference on Advanced Robotics (ICAR), pp. 557-564, 2015. pdf
[C21] E. Ugur, J. Piater, Bottom-Up Learning of Object Categories, Action Effects and Logical Rules: From Continuous Manipulative Exploration to Symbolic Planning, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 2627-2633, 2015. pdf
[C20] E. Ugur, J. Piater, Refining discovered symbols with multi-step interaction experience, IEEE-RAS Intl. Conf. on Humanoid Robotics , pp. 1007-1012, 2015. pdf
[C19] E. Ugur, J. Baraglia, L. Schillingmann, Y. Nagai, Use of speech and motion cues for bootstrapping complex action learning in iCub, 5th International Conference on Development and Learning and on Epigenetic Robotics, 2015 Extended abstract. pdf

2014

[C18] S. Szedmak, E. Ugur, J. Piater, Knowledge Propagation and Relation Learning for Predicting Action Effects, IEEE Intl. Conf. on Intelligent Robots and Systems, (IROS), pp. 623-629, 2014. pdf
[C17] E. Ugur, S. Szedmak, J. Piater, Bootstrapping paired-object affordance learning with learned single-affordance features, IEEE Intl. Conf. on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), pp. 468-473, 2014. pdf
[C16] E. Ugur, J. Piater, Emergent Structuring of Interdependent Affordance Learning Tasks, IEEE Intl. Conf. on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), pp. 481-486, 2014. pdf
[NC1] E. Ugur, S. Szedmak, J. Piater, Complex affordance learning based on basic affordances, 22nd Signal Processing and Communications Applications Conference (SIU), pp. 698-701, 2014. pdf
[W10] E. Ugur, Y. Nagai, E. Oztop, Affordance based imitation bootstrapping with motionese, Proceedings of IROS Workshop on Developmental Social Robotics, pp. 9-14, 2014.
[W9] S. Hangl, S. Krivic, P. Zech, E. Ugur, J. Piater, Exploiting the Environment for Object Manipulation, Austrian Robotics Workshop, 2014 Best student paper award.

2013

[C15] E. Ugur, Y. Nagai, E. Oztop, Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills, 22nd International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD), pp. 167-174, 2013 Best Paper Research Award. pdf

2012

[C14] O. Kroemer, E. Ugur, E. Oztop, J. Peters, A Kernel-based Approach to Direct Action Perception, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 2605-2610, 2012. pdf
[C13] M. Parlaktuna, D. Tunaoglu, E. Ugur, E. Sahin, Closed-loop primitives: A method to generate and recognize reaching actions from demonstration, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 2015-2020, 2012. pdf
[C12] E. Ugur, E. Sahin, E. Oztop, Self-discovery of motor primitives and learning grasp affordances, IEEE Intl. Conf. on Intelligent Robots and Systems (IROS), pp. 3260-3267, 2012. pdf

2011

[J4] E. Ugur, E. Oztop, E. Sahin, Goal emulation and planning in perceptual space using learned affordances, Robotics and Autonomous Systems, 59 (7–8), pp. 580-595, 2011. pdf
[C11] E. Ugur, E. Sahin, E. Oztop, Unsupervised learning of object affordances for planning in a mobile manipulation platform, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 4326-4332, 2011. pdf
[C10] E. Ugur, E. Oztop, E. Sahin, Going beyond the perception of affordances: Learning how to actualize them through behavioral parameters, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 4768-4773, 2011. pdf
[C9] E. Ugur, H. Celikkanat, E. Sahin, Y. Nagai, E. Oztop, Learning to Grasp with Parental Scaffolding, IEEE Intl. Conf. on Humanoid Robotics , pp. 480-486, 2011. pdf
[W8] E. Ugur, Y. Shimizu, and E. Oztop, H. Imamizu, Reconstruction of Grasp Posture from MEG Brain Activity, Neuro2011, 2011 Poster presentation.

2010

[J3] E. Ugur, E. Sahin, Traversability: A case study for learning and perceiving affordances in robots, Adaptive Behavior, 18(3–4), pp. 258-284, 2010. pdf
[W7] E. Ugur, E. Oztop, E. Sahin, Discovering action-oriented object meanings in an anthropomorphic robot platform, Neuro2010, 2010 Poster presentation.
[W6] B. Moore, E. Ugur, E. Oztop, Biologically inspired robot grasping through human-in-the-loop robot control, Workshop on grasp planning and task learning by imitation, (IROS), 2010.

2009

[C8] E. Ugur, E. Sahin, E. Oztop, Predicting future object states using learned affordances, 24th International Symposium on Computer and Information (ISCIS), pp. 415-219, 2009. pdf
[C7] E. Ugur, E. Sahin, E. Oztop, Affordance learning from range data for multi-step planning, 9th International Conference on Epigenetic Robotics (EpiRob), pp. 177-184, 2009. pdf
[W5] E. Ugur, E. Oztop, E. Sahin, Learning object affordances for planning, Proceedings of the Workshop on Approaches to Sensorimotor Learning on Humanoid Robots, ICRA 09, pp. 38-39, 2009.
[W4] E. Oztop, B. Ozyer, E. Ugur, M. Kawato, From human grasping to robot grasping, Proceedings of the 32st Annual Meeting of the Japan Neuroscience Society, 2009 Poster presentation.
[W3] E. Ugur, E. Oztop, E. Sahin, Learning Affordance Relations in a Mobile Robot with Limited Manipulation Capabilities, Proceedings of the 32st Annual Meeting of the Japan Neuroscience Society, 2009 Poster presentation.
[W2] E. Ugur, E. Sahin, E. Oztop, Use of range cameras for the perception of push and grasp affordances, Computer Vision for Humanoid Robots in Real Environments Workshop, ICCV 09, 2009 Poster presentation.
[W1] E. Ugur, E. Oztop, E. Sahin, Learning Object Affordances for Planing, Workshop on Approaches to Sensorimotor Learning on Humanoid Robots, International Conference on Robotics and Automation (ICRA), pp. 38-39, 2009 Extended abstract.

2008

[C6] M. R. Dogar, E. Ugur, E. Sahin, M. Cakmak, Using learned affordances for robotic behavior development, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 3802-3807, 2008. pdf
[CH1] E. Rome, L. Paletta, E. Sahin, G. Dorffner, J. Hertzberg, G. Fritz, J. Irran, F. Kintzler, C. Lorken, S. May, E. Ugur, R. Breithaupt, The MACS project: An approach to affordance-based robot control, Towards Affordance-Based Robot Control, pp. 173-210, 2008. pdf

2007

[J2] E. Sahin, M. Cakmak, M.R. Dogar, E. Ugur, G. Ucoluk, To afford or not to afford: A new formalization of affordances towards affordance-based robot control, Adaptive Behavior, 15(4), pp. 447-472, 2007. pdf
[C5] M. Cakmak, M. R. Dogar, E. Ugur, E. Sahin, Affordances as a framework for robot control, 7th International Conference on Epigenetic Robotics (EpiRob), 2007. pdf
[C4] E. Ugur, A. E. Turgut, E. Sahin, Dispersion of a swarm of robots based on realistic wireless intensity signals, 22nd Intl. Symposium on Computer and Information Sciences (ISCIS), pp. 1-6, 2007. pdf
[C3] E. Ugur, M. R. Dogar, M. Cakmak, E. Sahin, Curiosity-driven Learning of Traversability Affordance on a Mobile Robot, IEEE Intl. Conf. on Development and Learning (ICDL), pp. 13-18, 2007. pdf
[C2] M. Dogar, M. Cakmak, E. Ugur, E. Sahin, From primitive behaviors to goal-directed behavior using affordances, Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on, pp. 729-734, 2007. pdf
[C1] E. Ugur, M.R. Dogar, M. Cakmak, E. Sahin, The learning and use of traversability affordance using range images on a mobile robot, IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 1721-1726, 2007. pdf

2006

[J1] E. Sahin, S. Girgin, E. Ugur, Area measurement of large closed regions with a mobile robot, Auton. Robots, 21(3), pp. 255-266, 2006. pdf