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Publications

Journal Articles

[J1] A. Ahmetoglu, E. Oztop, E. Ugur, Symbolic Manipulation Planning With Discovered Object and Relational Predicates, Robotics and Automation Letters (RA-L), 10(2), pp. 1968–1975, 2025.

[J2] E. Oztop, J. Babic, E. Ugur, N. Amirshirzad, T. Kunavar, E. Arditi, Inferring Effort-Safety Trade Off in Perturbed Squat-to-Stand Task by Reward Parameter Estimation, Elsevier, 2025.

[J3] J. Babic, T. Kunavar, E. Oztop, M. Kawato, Success-Efficient/Failure-Safe Strategy for Hierarchical Reinforcement Motor Learning, PLoS Computational Biology, 21(5), pp. 1013089, 2025.

[J4] A. Erkent, E. Ugur, E. Oztop, I. Ayhan, The Rubber Tool Illusion Reveals How Body Image Modifies Body Schema, Journal of Experimental Psychology: Human Perception and Performance, American Psychological Association, 2025.

[J5] E. Arditi, T. Kunavar, N. Amirshirzad, E. Ugur, J. Babic, E. Oztop, Inferring Effort-Safety Trade Off in Perturbed Squat-to-Stand Task by Reward Parameter Estimation, Engineering Applications of Artificial Intelligence, 142, pp. 109778, 2025.

Conference and Workshop Papers

[C1] B. Ding, E. Oztop, G. Spigler, M. Kirtay, Learning Secondary Tool Affordances From Human Actions Using the iCub Robot, Proc. IEEE Int. Conf. Robot and Human Interactive Communication (RO-MAN), pp. 1831–1836, 2025.

[C2] E. Arditi, Y. Nagai, E. Ugur, M. Asada, E. Oztop, Emulating Perceptual Development in Deep Reinforcement Learning, Proc. Int. Conf. Development and Learning (ICDL), pp. 1–6, 2025.

[C3] F. Ribeiro, A. Bernardino, J. Santos-Victor, M. Asada, E. Oztop, Artificial Pain Representation With Tactile and Vision Blending, Proc. IEEE-RAS Int. Conf. Humanoid Robots (Humanoids), pp. 799–806, 2025.

Other Publications


[I1]E. Ugur, A. Ahmetoglu, Y. Nagai, T. Taniguchi, M. Saveriano, E. Oztop, Neuro-Symbolic Robotics, TechRxiv, 2025.

[I2] H. Say, S. E. Ada, E. Ugur, E. Oztop, Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning, CoRR, abs/2504.00707, 2025.

[I3] A. Rossi, P. Holthaus, G. Lakatos, S. Moros, A. Fallahi, M. Kirtay, M. Postma, E. Oztop, TRUST 2025: SCRITA and RTSS @ RO-MAN 2025, CoRR, abs/2509.11402, 2025.

[I4] S. E. Ada, G. Martius, E. Ugur, E. Oztop, Forecasting in Offline Reinforcement Learning for Non-Stationary Environments, CoRR, abs/2512.01987, 2025.

Journal Articles

[J1] H. Aktas, Y. Nagai, M. Asada, E. Oztop, E. Ugur, Correspondence Learning Between Morphologically Different Robots via Task Demonstrations, Robotics and Automation Letters (RA-L), 9(5), pp. 4463–4470, 2024.

[J2] S. E. Ada, E. Oztop, E. Ugur, Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning, Robotics and Automation Letters (RA-L), 9(4), pp. 3116–3123, 2024.

[J3] A. Ahmetoglu, B. Celik, E. Oztop, E. Ugur, Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers, Robotics and Automation Letters (RA-L), 9(2), pp. 1977–1984, 2024.

[J4] M. Pekmezci, E. Ugur, E. Oztop, Coupled Conditional Neural Movement Primitives, Neural Computing and Applications, 36(30), pp. 18999–19021, 2024.

[J5] S. E. Ada, H. Say, E. Ugur, E. Oztop, Bidirectional Progressive Neural Networks With Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer, IEEE Access, 12, pp. 69690–69699, 2024.

Conference and Workshop Papers

[C1] A. Mehrabi, E. Oztop, A Neural Network Architecture for Learning a Feedback Controller from Demonstration, Proc. Int. Joint Conf. Neural Networks (IJCNN), Yokohama, Japan, pp. 1–8, June 30 – July 5, 2024.

[C2] B. Celebi, M. Asada, E. Oztop, Augmenting Reservoirs with Higher Order Terms for Resource Efficient Learning, Proc. Int. Joint Conf. Neural Networks (IJCNN), Yokohama, Japan, pp. 1–8, June 30 – July 5, 2024.

[C3] S. Hamdan, Y. Aydin, E. Oztop, C. Basdogan, Robotic Learning of Haptic Skills from Expert Demonstration for Contact-Rich Manufacturing Tasks, Proc. IEEE Int. Conf. Automation Science and Engineering (CASE), Bari, Italy, pp. 2334–2341, August 28 – September 1, 2024.

[C4] D. Yilmaz, B. Ugurlu, E. Oztop, Human-in-the-Loop Training Leads to Faster Skill Acquisition and Adaptation in Reinforcement Learning-Based Robot Control, Proc. IEEE Int. Conf. Advanced Motion Control (AMC), Kyoto, Japan, pp. 1–6, February 28 – March 1, 2024.

Other Publications

[I1] M. A. Eren, E. Oztop, Sample Efficient Robot Learning in Supervised Effect Prediction Tasks, CoRR, abs/2412.02331, 2024.

[I2] N. Amirshirzad, M. A. Eren, E. Oztop, Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control, CoRR, abs/2412.00541, 2024.

[I3] Z. Koulaeizadeh, E. Oztop, Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis, CoRR, abs/2411.10991, 2024.

[I4] B. Ding, E. Oztop, G. Spigler, M. Kirtay, Learning Secondary Tool Affordances of Human Partners Using iCub Robot's Egocentric Data, CoRR, abs/2407.11922, 2024.

[I5] H. Aktas, Y. Nagai, M. Asada, E. Oztop, E. Ugur, Affordance Blending Networks, CoRR, abs/2404.15648, 2024.

[I6] S. E. Ada, H. Say, E. Ugur, E. Oztop, Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer, CoRR, abs/2403.04001, 2024.

[I7] A. Ahmetoglu, E. Oztop, E. Ugur, Symbolic Manipulation Planning with Discovered Object and Relational Predicates, CoRR, abs/2401.01123, 2024.

Journal Articles

[J1] M. Kirtay, V. V. Hafner, M. Asada, E. Oztop, Trust in Robot-Robot Scaffolding, IEEE Transactions on Cognitive and Developmental Systems, 15(4), pp. 1841–1852, 2023.

[J2] M. I. Sener, Y. Nagai, E. Oztop, E. Ugur, Exploration With Intrinsic Motivation Using Object-Action-Outcome Latent Space, IEEE Transactions on Cognitive and Developmental Systems, 15(2), pp. 325–336, 2023.

Conference and Workshop Papers

[C1] A. Ahmetoglu, E. Oztop, E. Ugur, Deep Multi-Object Symbol Learning With Self-Attention Based Predictors, Proc. IEEE Signal Processing and Communications Applications Conference (SIU), pp. 1–4, 2023.

[C2] H. Say, E. Oztop, A Model for Cognitively Valid Lifelong Learning, Proc. IEEE Int. Conf. Robotics and Biomimetics (ROBIO), pp. 1–7, 2023.

[C3] V. Taliaronak, A. L. Lange, M. Kirtay, E. Oztop, V. V. Hafner, Advancing Humanoid Robots for Social Integration: Evaluating Trustworthiness Through a Social Cognitive Framework, Proc. IEEE Int. Conf. Robot and Human Interactive Communication (RO-MAN), pp. 2112–2119, 2023.

[C4] N. Amirshirzad, M. Asada, E. Oztop, Context Based Echo State Networks for Robot Movement Primitives, Proc. IEEE Int. Conf. Robot and Human Interactive Communication (RO-MAN), pp. 1077–1082, 2023.

[C5] T. B. Akbulut, G. T. C. Girgin, A. Mehrabi, M. Asada, E. Ugur, E. Oztop, Bimanual Rope Manipulation Skill Synthesis Through Context Dependent Correction Policy Learning from Human Demonstration, Proc. IEEE Int. Conf. Robotics and Automation (ICRA), pp. 3904–3910, 2023.

[C6] B. Celik, A. Ahmetoglu, E. Ugur, E. Oztop, Developmental Scaffolding With Large Language Models, Proc. Int. Conf. Development and Learning (ICDL), pp. 396–402, 2023.

[C7] M. Kirtay, V. V. Hafner, M. Asada, E. Oztop, Interplay Between Neural Computational Energy and Multimodal Processing in Robot-Robot Interaction, Proc. Int. Conf. Development and Learning (ICDL), pp. 15–21, 2023.

Other Publications

[I1] H. Aktas, Y. Nagai, M. Asada, E. Oztop, E. Ugur, Correspondence Learning Between Morphologically Different Robots Through Task Demonstrations, CoRR, abs/2310.13458, 2023.

[I2] B. Celik, A. Ahmetoglu, E. Ugur, E. Oztop, Developmental Scaffolding With Large Language Models, CoRR, abs/2309.00904, 2023.

[I3] A. Ahmetoglu, B. Celik, E. Oztop, E. Ugur, Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers, CoRR, abs/2309.00889, 2023.

[I4] S. E. Ada, E. Oztop, E. Ugur, Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning, CoRR, abs/2307.04726, 2023.
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