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2020 – today
- 2024
[j39]Suzan Ece Ada
, Hanne Say, Emre Ugur, Erhan Öztop:
Bidirectional Progressive Neural Networks With Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer. IEEE Access 12: 69690-69699 (2024)- [j38]Hakan Aktas, Utku Bozdogan, Emre Ugur:
Multi-step planning with learned effects of partial action executions. Adv. Robotics 38(8): 546-560 (2024) - [j37]Hamit Basgol, Inci Ayhan, Emre Ugur:
Predictive event segmentation and representation with neural networks: A self-supervised model assessed by psychological experiments. Cogn. Syst. Res. 83: 101167 (2024) - [j36]Mehmet Pekmezci, Emre Ugur, Erhan Öztop:
Coupled Conditional Neural Movement Primitives. Neural Comput. Appl. 36(30): 18999-19021 (2024) - [j35]Alper Ahmetoglu, Batuhan Celik, Erhan Öztop, Emre Ugur:
Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers. IEEE Robotics Autom. Lett. 9(2): 1977-1984 (2024) - [j34]Suzan Ece Ada, Erhan Öztop, Emre Ugur:
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning. IEEE Robotics Autom. Lett. 9(4): 3116-3123 (2024) - [j33]Hakan Aktas, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Ugur:
Correspondence Learning Between Morphologically Different Robots via Task Demonstrations. IEEE Robotics Autom. Lett. 9(5): 4463-4470 (2024) - [j32]Suzan Ece Ada, Emre Ugur:
Unsupervised Meta-Testing With Conditional Neural Processes for Hybrid Meta-Reinforcement Learning. IEEE Robotics Autom. Lett. 9(10): 8427-8434 (2024) - [j31]Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur:
Object and relation centric representations for push effect prediction. Robotics Auton. Syst. 174: 104632 (2024) - [i34]Alper Ahmetoglu, Erhan Öztop, Emre Ugur:
Symbolic Manipulation Planning with Discovered Object and Relational Predicates. CoRR abs/2401.01123 (2024) - [i33]Aydin Emre Utku, Suzan Ece Ada, Muhammet Hatipoglu, Mustafa Derman, Emre Ugur, Evren Samur:
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton. CoRR abs/2402.00135 (2024) - [i32]Yigit Yildirim, Emre Ugur:
Conditional Neural Expert Processes for Learning from Demonstration. CoRR abs/2402.08424 (2024) - [i31]Suzan Ece Ada, Hanne Say, Emre Ugur, Erhan Öztop:
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer. CoRR abs/2403.04001 (2024) - [i30]Yigit Yildirim, Mehmet Suzer, Emre Ugur:
Learning Early Social Maneuvers for Enhanced Social Navigation. CoRR abs/2403.15813 (2024) - [i29]Gülsüm Tuba Çibuk Girgin, Emre Girgin, Yigit Yildirim, Emre Ugur, Mehmet Haklidir:
Bidirectional Human Interactive AI Framework for Social Robot Navigation. CoRR abs/2404.04069 (2024) - [i28]Yigit Yildirim, Emre Ugur:
Learning Social Navigation from Demonstrations with Deep Neural Networks. CoRR abs/2404.11246 (2024) - [i27]Hakan Aktas, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Ugur:
Affordance Blending Networks. CoRR abs/2404.15648 (2024) - 2023
- [j30]Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura:
Special issue on world models and predictive coding in robotics (Part I). Adv. Robotics 37(13): 779 (2023) - [j29]Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo:
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Adv. Robotics 37(13): 780-806 (2023) - [j28]Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, Tomoaki Nakamura:
Special issue on world models and predictive coding in robotics (part II). Adv. Robotics 37(19): 1211 (2023) - [j27]Melisa Idil Sener, Yukie Nagai, Erhan Öztop, Emre Ugur:
Exploration With Intrinsic Motivation Using Object-Action-Outcome Latent Space. IEEE Trans. Cogn. Dev. Syst. 15(2): 325-336 (2023) - [c42]Batuhan Celik, Alper Ahmetoglu, Emre Ugur, Erhan Öztop:
Developmental Scaffolding with Large Language Models. ICDL 2023: 396-402 - [c41]T. Baturhan Akbulut, Gülsüm Tuba Çibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Öztop:
Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration. ICRA 2023: 3904-3910 - [c40]Alper Ahmetoglu, Erhan Öztop, Emre Ugur:
Deep Multi-Object Symbol Learning with Self-Attention Based Predictors. SIU 2023: 1-4 - [i26]Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo:
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges. CoRR abs/2301.05832 (2023) - [i25]Suzan Ece Ada, Emre Ugur:
Meta-World Conditional Neural Processes. CoRR abs/2302.10320 (2023) - [i24]Utku Bozdogan, Emre Ugur:
Multi-step planning with learned effects of (possibly partial) action executions. CoRR abs/2303.09355 (2023) - [i23]Suzan Ece Ada, Erhan Öztop, Emre Ugur:
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning. CoRR abs/2307.04726 (2023) - [i22]Alper Ahmetoglu, Batuhan Celik, Erhan Öztop, Emre Ugur:
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers. CoRR abs/2309.00889 (2023) - [i21]Batuhan Celik, Alper Ahmetoglu, Emre Ugur, Erhan Öztop:
Developmental Scaffolding with Large Language Models. CoRR abs/2309.00904 (2023) - [i20]Gülsüm Tuba Çibuk Girgin, Emre Ugur:
Multi-Object Graph Affordance Network: Enabling Goal-Oriented Planning through Compound Object Affordances. CoRR abs/2309.10426 (2023) - [i19]Hakan Aktas, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Ugur:
Correspondence learning between morphologically different robots through task demonstrations. CoRR abs/2310.13458 (2023) - 2022
- [j26]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36(1-2): 1-2 (2022) - [j25]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36(5-6): 217-218 (2022) - [j24]Alper Ahmetoglu, Emre Ugur, Minoru Asada, Erhan Öztop:
High-level features for resource economy and fast learning in skill transfer. Adv. Robotics 36(5-6): 291-303 (2022) - [j23]Alper Ahmetoglu, M. Yunus Seker, Justus H. Piater, Erhan Öztop, Emre Ugur:
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction. J. Artif. Intell. Res. 75: 709-745 (2022) - [j22]M. Yunus Seker, Alper Ahmetoglu, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Ugur:
Imitation and mirror systems in robots through Deep Modality Blending Networks. Neural Networks 146: 22-35 (2022) - [j21]Suzan Ece Ada, Emre Ugur, H. Levent Akin:
Generalization in transfer learning: robust control of robot locomotion. Robotica 40(11): 3811-3836 (2022) - [j20]Hamit Basgol, Inci Ayhan, Emre Ugur:
Time Perception: A Review on Psychological, Computational, and Robotic Models. IEEE Trans. Cogn. Dev. Syst. 14(2): 301-315 (2022) - [j19]Tugce Joy, Emre Ugur, Inci Ayhan:
Trick the body trick the mind: avatar representation affects the perception of available action possibilities in virtual reality. Virtual Real. 26(2): 615-629 (2022) - [c39]Negin Amirshirzad, Emre Ugur, Ozkan Bebek, Erhan Öztop:
Adaptive Shared Control with Human Intention Estimation for Human Agent Collaboration. CASE 2022: 653-658 - [i18]Alper Ahmetoglu, Erhan Öztop, Emre Ugur:
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors. CoRR abs/2208.01021 (2022) - [i17]T. Baturhan Akbulut, Gülsüm Tuba Çibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Öztop:
Bimanual rope manipulation skill synthesis through context dependent correction policy learning from human demonstration. CoRR abs/2209.13850 (2022) - [i16]Yigit Yildirim, Emre Ugur:
Learning Social Navigation from Demonstrations with Conditional Neural Processes. CoRR abs/2210.03582 (2022) - [i15]Hamit Basgol, Inci Ayhan, Emre Ugur:
Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments. CoRR abs/2210.05710 (2022) - 2021
- [j18]Serkan Bugur, Erhan Öztop, Yukie Nagai, Emre Ugur:
Effect Regulated Projection of Robot's Action Space for Production and Prediction of Manipulation Primitives Through Learning Progress and Predictability-Based Exploration. IEEE Trans. Cogn. Dev. Syst. 13(2): 286-297 (2021) - [c38]Safa Andaç, Can Bora Sezer, Inci Ayhan, Emre Ugur, Erhan Öztop:
Effects of Scaling Shoulder Width on Passability Affordance in Virtual Reality. CogSci 2021 - [c37]Hamit Basgol, Inci Ayhan, Emre Ugur:
A Self-Supervised and Predictive Processing-Based Model of Event Segmentation and Learning. CogSci 2021 - [c36]Berkay Bayram, Emre Ugur, Minoru Asada, Erhan Öztop:
An Ecologically Valid Reference Frame for Perspective Invariant Action Recognition. ICDL 2021: 1-7 - [c35]M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Ercan Tekden, Emre Ugur:
Reward Conditioned Neural Movement Primitives for Population-Based Variational Policy Optimization. ICRA 2021: 10808-10814 - [c34]Emir Arditi, Tjasa Kunavar, Emre Ugur, Jan Babic, Erhan Öztop:
Inferring Cost Functions Using Reward Parameter Search and Policy Gradient Reinforcement Learning. IECON 2021: 1-6 - [c33]Mehmet Pekmezci, Emre Ugur, Erhan Öztop:
Learning System Dynamics via Deep Recurrent and Conditional Neural Systems. SIU 2021: 1-4 - [i14]Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur:
Object and Relation Centric Representations for Push Effect Prediction. CoRR abs/2102.02100 (2021) - [i13]M. Yunus Seker, Alper Ahmetoglu, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Ugur:
Imitation and Mirror Systems in Robots through Deep Modality Blending Networks. CoRR abs/2106.08422 (2021) - [i12]Alper Ahmetoglu, Emre Ugur, Minoru Asada, Erhan Öztop:
High-level Features for Resource Economy and Fast Learning in Skill Transfer. CoRR abs/2106.10354 (2021) - 2020
- [j17]Emre Ugur, Hakan Girgin:
Compliant Parametric Dynamic Movement Primitives. Robotica 38(3): 457-474 (2020) - [c32]Mete Akbulut, Erhan Öztop, Muhammet Yunus Seker, Honghu Xue, Ahmet Ercan Tekden, Emre Ugur:
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing. CoRL 2020: 1896-1907 - [c31]Ozgur Baran Ozturkcu, Emre Ugur, Erhan Öztop:
High-level representations through unconstrained sensorimotor learning. ICDL-EPIROB 2020: 1-6 - [c30]Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Mert Imre, M. Yunus Seker, Emre Ugur:
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects. ICRA 2020: 10556-10562 - [c29]Hamit Basgöl, Emre Ugur:
Predicting Human Visual Complexity Judgments via Deep Learning. SIU 2020: 1-4 - [i11]M. Tuluhan Akbulut, M. Yunus Seker, Ahmet Ercan Tekden, Yukie Nagai, Erhan Öztop, Emre Ugur:
Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning. CoRR abs/2003.11334 (2020) - [i10]Hamit Basgol, Inci Ayhan, Emre Ugur:
Psychological, Computational and Robotic Models of Time Perception. CoRR abs/2007.11845 (2020) - [i9]Tugce Akkoc, Emre Ugur, Inci Ayhan:
Trick the Body Trick the Mind: Avatar representation affects the perception of available action possibilities in Virtual Reality. CoRR abs/2007.13048 (2020) - [i8]Melisa Idil Sener, Yukie Nagai, Erhan Öztop, Emre Ugur:
Intrinsic Motivation in Object-Action-Outcome Blending Latent Space. CoRR abs/2008.11503 (2020) - [i7]M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Ercan Tekden, Emre Ugur:
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization. CoRR abs/2011.04282 (2020) - [i6]Alper Ahmetoglu, M. Yunus Seker, Aysu Sayin, Serkan Bugur, Justus H. Piater, Erhan Öztop, Emre Ugur:
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning. CoRR abs/2012.02532 (2020)
2010 – 2019
- 2019
- [j16]Mert Imre, Erhan Öztop, Yukie Nagai, Emre Ugur:
Affordance-based altruistic robotic architecture for human-robot collaboration. Adapt. Behav. 27(4) (2019) - [j15]Tetsunari Inamura, Hiroki Yokoyama, Emre Ugur, Xavier Hinaut, Michael Beetz, Tadahiro Taniguchi:
Section focused on machine learning methods for high-level cognitive capabilities in robotics. Adv. Robotics 33(11): 537-538 (2019) - [j14]Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, Takayuki Nagai, Yiannis Demiris:
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics. Frontiers Neurorobotics 13: 83 (2019) - [j13]M. Yunus Seker, Ahmet Ercan Tekden, Emre Ugur:
Deep effect trajectory prediction in robot manipulation. Robotics Auton. Syst. 119: 173-184 (2019) - [j12]Tadahiro Taniguchi, Justus H. Piater, Florentin Wörgötter, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop:
Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 11(4): 494-516 (2019) - [c28]Barkan Ugurlu, Merve Acer, Duygun Erol Barkana, Ikilem Gocek, Ayse Küçükyilmaz, Yunus Ziya Arslan, Halil I. Basturk, Evren Samur, Emre Ugur, Ramazan Unal, Ozkan Bebek:
A Soft+Rigid Hybrid Exoskeleton Concept in Scissors-Pendulum Mode: A Suit for Human State Sensing and an Exoskeleton for Assistance. ICORR 2019: 518-523 - [c27]Muhammet Yunus Seker, Mert Imre, Justus H. Piater, Emre Ugur:
Conditional Neural Movement Primitives. Robotics: Science and Systems 2019 - [i5]Suzan Ece Ada, Emre Ugur, H. Levent Akin:
Generalization in Transfer Learning. CoRR abs/1909.01331 (2019) - [i4]Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Mert Imre, M. Yunus Seker, Emre Ugur:
Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects. CoRR abs/1909.03785 (2019) - 2018
- [j11]Lorenzo Jamone, Emre Ugur, José Santos-Victor:
Guest Editorial Special Issue on Affordances. IEEE Trans. Cogn. Dev. Syst. 10(1): 1-3 (2018) - [j10]Lorenzo Jamone, Emre Ugur, Angelo Cangelosi, Luciano Fadiga, Alexandre Bernardino, Justus H. Piater, José Santos-Victor:
Affordances in Psychology, Neuroscience, and Robotics: A Survey. IEEE Trans. Cogn. Dev. Syst. 10(1): 4-25 (2018) - [c26]Melisa Idil Sener, Emre Ugur:
Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems. ICDL-EPIROB 2018: 54-59 - [c25]Ahmet Ercan Tekden, Emre Ugur, Yukie Nagai, Erhan Öztop:
Modeling the Development of Infant Imitation using Inverse Reinforcement Learning. ICDL-EPIROB 2018: 155-160 - [c24]Hakan Girgin, Emre Ugur:
Associative Skill Memory Models. IROS 2018: 6043-6048 - [i3]Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop, Justus H. Piater, Florentin Wörgötter:
Symbol Emergence in Cognitive Developmental Systems: a Survey. CoRR abs/1801.08829 (2018) - 2017
- [j9]Philipp Zech, Simon Haller, Safoura Rezapour Lakani, Barry Ridge, Emre Ugur, Justus H. Piater:
Computational models of affordance in robotics: a taxonomy and systematic classification. Adapt. Behav. 25(5): 235-271 (2017) - [j8]Simon Hangl, Emre Ugur, Justus H. Piater:
Autonomous robots: potential, advances and future direction. Elektrotech. Informationstechnik 134(6): 293-298 (2017) - [j7]Emre Ugur, Justus H. Piater:
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection. IEEE Trans. Cogn. Dev. Syst. 9(4): 328-340 (2017) - 2016
- [c23]Senka Krivic, Emre Ugur, Justus H. Piater:
A robust pushing skill for object delivery between obstacles. CASE 2016: 1184-1189 - [c22]Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater:
Robotic playing for hierarchical complex skill learning. IROS 2016: 2799-2804 - [i2]Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater:
Hierarchical Haptic Manipulation for Complex Skill Learning. CoRR abs/1603.00794 (2016) - [i1]Tadahiro Taniguchi, Emre Ugur, George Dimitri Konidaris:
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14). NII Shonan Meet. Rep. 2016 (2016) - 2015
- [j6]Emre Ugur, Yukie Nagai, Hande Çelikkanat, Erhan Öztop:
Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills. Robotica 33(5): 1163-1180 (2015) - [j5]Emre Ugur, Yukie Nagai, Erol Sahin, Erhan Öztop:
Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese. IEEE Trans. Auton. Ment. Dev. 7(2): 119-139 (2015) - [c21]Emre Ugur, Justus H. Piater:
Refining discovered symbols with multi-step interaction experience. Humanoids 2015: 1007-1012 - [c20]Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater, Ales Ude:
Reactive, task-specific object manipulation by metric reinforcement learning. ICAR 2015: 557-564 - [c19]Barry Ridge, Emre Ugur, Ales Ude:
Comparison of action-grounded and non-action-grounded 3-D shape features for object affordance classification. ICAR 2015: 635-641 - [c18]Emre Ugur, Jimmy Baraglia, Lars Schillingmann, Yukie Nagai:
Use of speech and motion cues for bootstrapping complex action learning in iCub. ICDL-EPIROB 2015: 84-85 - [c17]Emre Ugur, Justus H. Piater:
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning. ICRA 2015: 2627-2633 - 2014
- [c16]Emre Ugur, Sándor Szedmák, Justus H. Piater:
Bootstrapping paired-object affordance learning with learned single-affordance features. ICDL-EPIROB 2014: 476-481 - [c15]Emre Ugur, Justus H. Piater:
Emergent structuring of interdependent affordance learning tasks. ICDL-EPIROB 2014: 489-494 - [c14]Sándor Szedmák, Emre Ugur, Justus H. Piater:
Knowledge propagation and relation learning for predicting action effects. IROS 2014: 623-629 - [c13]Emre Ugur, Sándor Szedmák, Justus H. Piater:
Complex affordance learning based on basic affordances. SIU 2014: 698-701 - 2012
- [c12]Mustafa Parlaktuna, Doruk Tunaoglu, Erol Sahin, Emre Ugur:
Closed-loop primitives: A method to generate and recognize reaching actions from demonstration. ICRA 2012: 2015-2020 - [c11]Oliver Kroemer, Emre Ugur, Erhan Öztop, Jan Peters:
A kernel-based approach to direct action perception. ICRA 2012: 2605-2610 - [c10]Emre Ugur, Erol Sahin, Erhan Öztop:
Self-discovery of motor primitives and learning grasp affordances. IROS 2012: 3260-3267 - 2011
- [j4]Emre Ugur, Erhan Öztop, Erol Sahin:
Goal emulation and planning in perceptual space using learned affordances. Robotics Auton. Syst. 59(7-8): 580-595 (2011) - [c9]Emre Ugur, Hande Çelikkanat, Erol Sahin, Yukie Nagai, Erhan Öztop:
Learning to grasp with parental scaffolding. Humanoids 2011: 480-486 - [c8]Emre Ugur, Erol Sahin, Erhan Öztop:
Unsupervised learning of object affordances for planning in a mobile manipulation platform. ICRA 2011: 4312-4317 - [c7]Emre Ugur, Erhan Öztop, Erol Sahin:
Going beyond the perception of affordances: Learning how to actualize them through behavioral parameters. ICRA 2011: 4768-4773 - 2010
- [b1]Emre Ugur:
A developmental framework for learning affordances (Sağlarlık öğrenimi için gelişimsel bir çerçeve). Middle East Technical University, Turkey, 2010 - [j3]Emre Ugur, Erol Sahin:
Traversability: A Case Study for Learning and Perceiving Affordances in Robots. Adapt. Behav. 18(3-4): 258-284 (2010)
2000 – 2009
- 2009
- [c6]Emre Ugur, Erol Sahin, Erhan Öztop:
Affordance learning from range data for multi-step planning. EpiRob 2009 - [c5]Emre Ugur, Erol Sahin, Erhan Öztop:
Predicting future object states using learned affordances. ISCIS 2009: 415-419 - 2008
- [c4]Mehmet Remzi Dogar, Emre Ugur, Erol Sahin, Maya Cakmak:
Using learned affordances for robotic behavior development. ICRA 2008: 3802-3807 - 2007
- [j2]Erol Sahin, Maya Çakmak, Mehmet Remzi Dogar, Emre Ugur, Göktürk Üçoluk:
To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control. Adapt. Behav. 15(4): 447-472 (2007) - [c3]Emre Ugur, Mehmet Remzi Dogar, Maya Cakmak, Erol Sahin:
The learning and use of traversability affordance using range images on a mobile robot. ICRA 2007: 1721-1726 - [c2]Mehmet Remzi Dogar, Maya Cakmak, Emre Ugur, Erol Sahin:
From primitive behaviors to goal-directed behavior using affordances. IROS 2007: 729-734 - 2006
- [j1]Erol Sahin, Sertan Girgin, Emre Ugur:
Area measurement of large closed regions with a mobile robot. Auton. Robots 21(3): 255-266 (2006) - [c1]Erich Rome, Lucas Paletta, Erol Sahin, Georg Dorffner, Joachim Hertzberg, Ralph Breithaupt, Gerald Fritz, Jörg Irran, Florian Kintzler, Christopher Lörken, Stefan May, Emre Ugur:
The MACS Project: An Approach to Affordance-Inspired Robot Control. Towards Affordance-Based Robot Control 2006: 173-210
Coauthor Index
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