Emre Ugur
Orcid: 0000-0001-9597-2731
According to our database1,
Emre Ugur
authored at least 99 papers
between 2006 and 2024.
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Bibliography
2024
Correspondence Learning Between Morphologically Different Robots via Task Demonstrations.
IEEE Robotics Autom. Lett., May, 2024
Adv. Robotics, April, 2024
IEEE Robotics Autom. Lett., February, 2024
Predictive event segmentation and representation with neural networks: A self-supervised model assessed by psychological experiments.
Cogn. Syst. Res., January, 2024
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning.
IEEE Robotics Autom. Lett., 2024
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer.
CoRR, 2024
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton.
CoRR, 2024
CoRR, 2024
2023
Adv. Robotics, October, 2023
Adv. Robotics, July, 2023
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges.
Adv. Robotics, July, 2023
IEEE Trans. Cogn. Dev. Syst., 2023
Correspondence learning between morphologically different robots through task demonstrations.
CoRR, 2023
Multi-Object Graph Affordance Network: Enabling Goal-Oriented Planning through Compound Object Affordances.
CoRR, 2023
CoRR, 2023
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Development and Learning, 2023
2022
Trick the body trick the mind: avatar representation affects the perception of available action possibilities in virtual reality.
Virtual Real., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Robotica, 2022
Neural Networks, 2022
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction.
J. Artif. Intell. Res., 2022
CoRR, 2022
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors.
CoRR, 2022
Adv. Robotics, 2022
Adv. Robotics, 2022
Adv. Robotics, 2022
Adaptive Shared Control with Human Intention Estimation for Human Agent Collaboration.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
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., 2021
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
Inferring Cost Functions Using Reward Parameter Search and Policy Gradient Reinforcement Learning.
Proceedings of the IECON 2021, 2021
Reward Conditioned Neural Movement Primitives for Population-Based Variational Policy Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Development and Learning, 2021
A Self-Supervised and Predictive Processing-Based Model of Event Segmentation and Learning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning.
CoRR, 2020
Trick the Body Trick the Mind: Avatar representation affects the perception of available action possibilities in Virtual Reality.
CoRR, 2020
Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning.
CoRR, 2020
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
IEEE Trans. Cogn. Dev. Syst., 2019
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics.
Frontiers Neurorobotics, 2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects.
CoRR, 2019
Section focused on machine learning methods for high-level cognitive capabilities in robotics.
Adv. Robotics, 2019
Adapt. Behav., 2019
Proceedings of the Robotics: Science and Systems XV, 2019
A Soft+Rigid Hybrid Exoskeleton Concept in Scissors-Pendulum Mode: A Suit for Human State Sensing and an Exoskeleton for Assistance.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
2018
IEEE Trans. Cogn. Dev. Syst., 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
2017
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection.
IEEE Trans. Cogn. Dev. Syst., 2017
Elektrotech. Informationstechnik, 2017
Computational models of affordance in robotics: a taxonomy and systematic classification.
Adapt. Behav., 2017
2016
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14).
NII Shonan Meet. Rep., 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
2015
Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese.
IEEE Trans. Auton. Ment. Dev., 2015
Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills.
Robotica, 2015
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Comparison of action-grounded and non-action-grounded 3-D shape features for object affordance classification.
Proceedings of the International Conference on Advanced Robotics, 2015
Proceedings of the International Conference on Advanced Robotics, 2015
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Bootstrapping paired-object affordance learning with learned single-affordance features.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Closed-loop primitives: A method to generate and recognize reaching actions from demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
Robotics Auton. Syst., 2011
Unsupervised learning of object affordances for planning in a mobile manipulation platform.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Going beyond the perception of affordances: Learning how to actualize them through behavioral parameters.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011
2010
A developmental framework for learning affordances (Sağlarlık öğrenimi için gelişimsel bir çerçeve)
PhD thesis, 2010
Adapt. Behav., 2010
2009
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009
Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob 2009), 2009
2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control.
Adapt. Behav., 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
The learning and use of traversability affordance using range images on a mobile robot.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2006
Proceedings of the Towards Affordance-Based Robot Control, 2006