Publications

Journal

  1. L. Jamone, E. Ugur, A. Cangelosi, L. Fadiga, A. Bernardino, J. Piater and J. Santos-Victor, Affordances in psychology, neuroscience and robotics: a survey, IEEE Transactions on Cognitive and Developmental Systems, 10(1):4-25, 2018.link, pdf
  2. P. Zech, S. Haller, S. R. Lakani, B. Ridge, E. Ugur, and J. Piater. Computational models of affordance in robotics: A taxonomy and systematic classification. Adaptive Behavior, 25(5):235-271, 2017. link, pdf
  3. Simon Hangl, Emre Ugur, and Justus Piater. Autonomous robots: potential, advances and future direction, e & i Elektrotechnik und Informationstechnik, 134(6):293-298, 2017. pdf.
  4. E. Ugur and J. Piater , Emergent structuring of interdependent affordance learning tasks using intrinsic motivation and empirical feature selection, IEEE Transactions on Cognitive and Developmental Systems, 2017, 9(4):328-340. link,pdf
  5. E. Ugur, E. Sahin, Y. Nagai, and E. Oztop , Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation, IEEE Transactions on Autonomous Mental Development, 7 (2), pp. 119-139, 2015, link, pdf, video.
  6. E. Ugur, Y. Nagai, H. Celikkanat, and E. Oztop , Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills, Cambridge University Press, Robotica, 33 (05), pp. 1163-1180, 2015, link, pdf
  7. E. Ugur, E. Oztop and E. Sahin, Goal emulation and planning in perceptual space using learned affordances, Robotics and Autonomous Systems, 59 (7-8), pp. 580-595, 2011. link, pdf
  8. E. Ugur and E. Sahin, Traversability: A case study for learning and perceiving affordances in robots, Adaptive Behavior, 18(3-4), pp. 258-284, 2010. link, pdf
  9. E. Sahin, M. Cakmak, M.R. Dogar, E. Ugur, and 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. link, pdf
  10. E. Sahin, S. Girgin, and E. Ugur , Area measurement of large closed regions with a mobile robot, Autonomous Robots, 21(3) No: 3, pp. 255-266, November 2006. link, pdf

Conference

  1. S. Hangl, E. Ugur, S. Szedmak and J. Piater, Hierarchical Haptic Manipulation for Complex Skill Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 pdf.
  2. S. Krivic, E. Ugur and J. Piater , A Robust Pushing Skill For Object Delivery Between Obstacles, 12th Conference on Automation Science and Engineering, Texas, USA, August, 2016.pdf.
  3. Emre Ugur, Jimmy Baraglia, Lars Schillingmann, and Yukie 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 (ICDL-Epirob), 2015, extended abstract. pdf, video.
  4. E. Ugur and J. Piater, Bottom-Up Learning of Object Categories, Action Effects and Logical Rules: From Continuous Manipulative Exploration to Symbolic Planning, IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, 2015, pp. 2627-2633. pdf ,video.
  5. Simon Hangl, Emre Ugur, Sandor Szedmak, Ales Ude, and Justus Piater, Reactive, task-specific object manipulation by metric reinforcement learning, International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 2015.
  6. Barry Ridge, Emre Ugur, and Ales Ude, Comparison of action-grounded and non-action-grounded 3-d shape features for object affordance classification, International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 2015.
  7. E. Ugur and J. Piater, Emergent structuring of interdependent affordance learning tasks, The Fourth Joint IEEE Intl. Conf. on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Genoa, Italy, 2014, pp. 481-486. pdf
  8. E. Ugur, S. Szedmak and J. Piater, Bootstrapping paired-object affordance learning with learned single-affordance features, The Fourth Joint IEEE Intl. Conf. on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Genoa, Italy, 2014, pp. 468-473. pdf
  9. S. Szedmak, E. Ugur, and J. Piater, Knowledge Propagation and Relation Learning for Predicting Action Effects, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), Chicago, US, 2014, pp. 623-629. pdf
  10. S. Hangl, S. Krivic, P. Zech, E. Ugur and J. Piater, Exploiting the Environment for Object Manipulation, Austrian Robotics Workshop. (Best student paper award) -E. Ugur, S. Szedmak, and J. Piater, Complex affordance learning based on basic affordances / Temel Saglarlik Tabanli Karmasik Saglarlik Ogrenimi, 22nd Signal Processing and Communications Applications Conference (SIU 204), Trabzon, Turkey, 2014, pp. 698-701. pdf
  11. E. Ugur, Y. Nagai, and E. Oztop, , Affordance based imitation bootstrapping with motionese, in Proceedings of the International Workshop on Developmental Social Robotics, pp. 9-14, November 2013
  12. E. Ugur, Y. Nagai and E. Oztop, Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills, in Proceedings of the 22nd International Workshop on Robotics in Alpe-Adria-Danube Region, pp. 167-174, Portoroz, Slovenia, September 2013. (Best Paper Research Award)
  13. E. Ugur, E. Sahin and E. Oztop, Self-discovery of motor primitives and learning grasp affordances, IEEE Intl. Conf. on Intelligent Robots and Systems (IROS 12), pp. 3260-3267, Algarve, Portugal, 2012. pdf, link
  14. M. Parlaktuna, D. Tunaoglu, E. Sahin and E. Ugur, Closed-loop primitives: A method to generate and recognize reaching actions from demonstration, IEEE Intl. Conf. on Robotics and Automation (ICRA 12), St. Paul, Minnesota, USA, 2012. pdf, link
  15. O. Kroemer, E. Ugur, E. Oztop and J. Peters, A Kernel-based Approach to Direct Action Perception, IEEE Intl. Conf. on Robotics and Automation (ICRA 12), St. Paul, Minnesota, USA, 2012. pdf, link
  16. E. Ugur, H. Celikkanat, E. Sahin, Y. Nagai, and E. Oztop, Learning to Grasp with Parental Scaffolding, IEEE Intl. Conf. on Humanoid Robotics, pp. 480-486, Bled, Slovenia, October, 2011. pdf, link
  17. E. Ugur, E. Oztop and E. Sahin, Going beyond the perception of affordances: Learning how to actualize them through behavioral parameters, IEEE Intl. Conf. on Robotics and Automation (ICRA 11), pp. 4768-4773, Shanghai, China, May, 2011. pdf, link
  18. E. Ugur, E. Sahin and E. Oztop, Unsupervised learning of object affordances for planning in a mobile manipulation platform, IEEE Intl. Conf. on Robotics and Automation (ICRA 11), 4326-4332, Shanghai, China, May, 2011. pdf, link
  19. E. Ugur, E. Sahin and E. Oztop, Affordance learning from range data for multi-step planning, Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob), pp. 177-184, Venice, Italy, November, 2009. pdf
  20. E. Ugur, E. Sahin and E. Oztop, Predicting future object states using learned affordances, International Symposium on Computer and Information Sciences (ISCIS 2009), Special Session on Cognitive Cybernetics and Brain Modeling, pp. 415-419, Northern Cyprus, September 2009. pdf, link
  21. M.R. Dogar, E. Ugur, M. Cakmak, and E. Sahin , Using Learned Affordances for Robotic Behavior Development, IEEE Intl. Conf. on Robotics and Automation (ICRA 08), pp. 3802-3807, Pasadena, CA, USA, May 19-23, 2008. pdf, link
  22. M. Cakmak, M.R. Dogar, E. Ugur, and E. Sahin, Affordances as a Framework for Robot Control , Seventh International Conference on Epigenetic Robotics, Piscataway, NJ, USA, November 5-7, 2007. pdf
  23. E. Ugur, Ali E. Turgut, and E. Sahin, Dispersion of a swarm of robots based on realistic wireless intensity signals, 22nd Intl. Symposium on Computer and Information Sciences (ISCIS'07) , Ankara, Turkey, November 7-9, 2007. pdf, link
  24. E. Ugur, M.R. Dogar, M. Cakmak, and E. Sahin, Curiosity-driven Learning of Traversability Affordance on a Mobile Robot, IEEE Intl. Conf. on Development and Learning (ICDL 07), pp. 13-18, London, UK., July 11-13 2007. pdf, link
  25. E. Ugur, M.R. Dogar, M. Cakmak, and E. Sahin, The learning and use of traversability affordance using range images on a mobile robot, IEEE Intl. Conf. on Robotics and Automation (ICRA 07), pp. 1721-1726, Rome, Italy, April 10-14, 2007. pdf , link

Invited Talks (N)ational/(I)nternational

  • N Symbol emergence in robots, Middle East Technical Univesity Cognitive Science Colloquim, March 2017, Istanbul, Turkey.
  • N Cognitive robots in Industry 4.0, WIN Eurasia Automation, Endustri 4.0 paneli, March 2017, Istanbul, Turkey.
  • N Bootstrapping symbolic and social learning through affordances, invited talk at the workshop on Bio-inspired Social Robot Learning in Home Scenario, at IROS 2016 in October 2016, in Korea.
  • I Bootstrapping Symbols from Continuous Manipulative Exploration, invited talk at the workshop on Bootstrapping Manipulation Skills, at RSS in June 2016 in Ann Arbor, USA.
  • N Bootstrapping symbols from sensorimotor experience, invited talk at the III. Workshop on New Trends in Robotics, June 03, 2016, Bahcesehir University, Istanbul, TURKEY2016. link
  • I Closing the loop: From continuous exploration to symbolic planning, invited talk at the 2nd International Workshop on Cognitive Neuroscience Robotics, February 21-22, 2016, Osaka, Japan. link
  • I Bootstrapping complex affordance learning with learned basic affordances for symbolic planning, invited talk in Workshop on Learning Reusable Concepts in Robotics, Robotics: Science and Systems (RSS) Conference, Rome, Italy, July, 2015. link
  • I Staged development of robot skills, invited talk in Technical University Munich, Institute for Cognitive Systems, March 31, 2014.
  • I Skill development through affordance-based bootstrapping, invited talk in Dagstuhl Seminar “Robots Learning from Experiences”, Wadern, Germany, February, 2014. link
  • I Affordance: The Elephant in the Room, invited talk in International Conference, “What Affordance Affords”, November 25-27, 2013, Darmstadt, Germany. link
  • I Unsupervised Discovery of Actions and Action Possibilities, invited talk in Dagstuhl Seminar: Mechanisms of Ongoing Development in Cognitive Robotics, Wadern, Germany, February, 2013. link
  • I Action planning based on learned affordances, invited talk in Motor Control: from Humans to Robots session, Motor Control Symposium, Nagoya, Japan, 2010.
  • I Learning affordances in mobile and manipulator robots , invited talk at Dpt. of Automatics, Biocybernetics, and Robotics, Jozef Stefan Institute, Ljubljana, Slovenia, 2009.
  • I The learning and use of traversability affordance on a mobile robot, seminar at University of Edinburgh, Institute for Perception, Action and Behavior, Edinburgh, UK, 2007.

Book Chapter

  • Justus Piater, Emre Ugur, Roboter für Menschen – Menschen für Roboter. In: Andreas Beinsteiner, Tanja Kohn (editors), Körperphantasien: Technisierung – Optimierung – Transhumanismus, pp. 75–86, 2016.
  • 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, Proceedings of Dagstuhl Seminar 06231, Springer-Verlag, Berlin, pp. 173-210, Rome, E., Hertzberg, J. and Dorffner, G. (eds.), February 2008.

Workshop & Posters

  1. E. Ugur, Y. Shimizu, E. Oztop, and H. Imamizu, Reconstruction of Grasp Posture from MEG Brain Activity, The 34th Annual Meeting of the Japan Neuroscience Society, Yokohama, Japan, 2011.
  2. B. Moore, E. Ugur, and E. Oztop, Biologically inspired robot grasping through human-in-the-loop robot control, IROS 2010 Workshop on grasp planning and task learning by imitation, Taiwan, 2010.
  3. E. Ugur, E. Oztop, and Erol Sahin, Discovering action-oriented object meanings in an anthropomorphic robot platform, Neuro 2010, 2010, Kobe.
  4. E. Ugur, E. Sahin, and E. Oztop, Use of range cameras for the perception of push and grasp affordances, Computer Vision for Humanoid Robots in Real Environments Workshop, ICCV, 2009, Kyoto.
  5. E. Ugur, E. Oztop, and E. Sahin, Learning Affordance Relations in a Mobile Robot with Limited Manipulation Capabilities, The 32st Annual Meeting of the Japan Neuroscience Society, Nagoya, 2009.
  6. E. Ugur, E. Oztop, and E. Sahin, Learning object affordances for planning, Workshop on Approaches to Sensorimotor Learning on Humanoid Robots, International Conference on Robotics and Automation (ICRA 2009), pp. 38-39, Kobe, Japan, May, 2009. (Extended abstract)

The copyright of many of the above publications is owned by their respective publishers. By downloading material from this site, you agree to abide by the applicable obligations. They are made available here for personal use only. Some publishers require the following copyright notices, respectively:

  1. Elsevier: This is the author’s version of a work that was accepted for publication in the given journal. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published as given in the reference.
  2. IEEE: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
  3. Springer and Versita/Springer: The final publication is available at link.springer.com.