Search Results - "Tekden, Ahmet"

Object and relation centric representations for push effect prediction by Tekden, Ahmet E., Erdem, Aykut, Erdem, Erkut, Asfour, Tamim, Ugur, Emre

“…Pushing is an essential non-prehensile manipulation skill used for tasks ranging from pre-grasp manipulation to scene rearrangement, reasoning about object…”
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Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared…”
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Neural Field Movement Primitives for Joint Modelling of Scenes and Motions by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…This paper presents a novel Learning from Demonstration (LfD) method that uses neural fields to learn new skills efficiently and accurately. It achieves this…”
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Sliding Touch-Based Exploration for Modeling Unknown Object Shape with Multi-Fingered Hands by Chen, Yiting, Tekden, Ahmet Ercan, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…Efficient and accurate 3D object shape reconstruction contributes significantly to the success of a robot's physical interaction with its environment…”
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Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects by Tekden, Ahmet E., Erdem, Aykut, Erdem, Erkut, Imre, Mert, Seker, M. Yunus, Ugur, Emre

“…In recent years, graph neural networks have been successfully applied for learning the dynamics of complex and partially observable physical systems. However,…”
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Deep effect trajectory prediction in robot manipulation by Seker, M. Yunus, Tekden, Ahmet E., Ugur, Emre

“…Imagining the consequences of one’s own actions, before and during their execution, allows the agents to choose actions based on their simulated performance,…”
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Data-Efficient Representation Learning for Grasping and Manipulation by Tekden, Ahmet Ercan

“…General-purpose robotics require adaptability to environmental variations and, therefore, need effective representations for programming them. A common way to…”
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Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared…”
Get full text

Neural Field Movement Primitives for Joint Modelling of Scenes and Motions by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…This paper presents a novel Learning from Demonstration (LfD) method that uses neural fields to learn new skills efficiently and accurately. It achieves this…”
Get full text

Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-fingered Hands by Chen, Yiting, Tekden, Ahmet Ercan, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…Efficient and accurate 3D object shape reconstruction contributes significantly to the success of a robot's physical interaction with its environment…”
Get full text

Reward Conditioned Neural Movement Primitives for Population-Based Variational Policy Optimization by Akbulut, M. Tuluhan, Bozdogan, Utku, Tekden, Ahmet, Ugur, Emre

“…This paper aims to study the reward-based policy exploration problem in a supervised learning approach and enable robots to form complex movement trajectories…”
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Object and Relation Centric Representations for Push Effect Prediction by Tekden, Ahmet E, Erdem, Aykut, Erdem, Erkut, Asfour, Tamim, Ugur, Emre

“…Pushing is an essential non-prehensile manipulation skill used for tasks ranging from pre-grasp manipulation to scene rearrangement, reasoning about object…”
Get full text

Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization by Akbulut, M. Tuluhan, Bozdogan, Utku, Tekden, Ahmet, Ugur, Emre

“…The aim of this paper is to study the reward based policy exploration problem in a supervised learning approach and enable robots to form complex movement…”
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Modeling the Development of Infant Imitation using Inverse Reinforcement Learning by Tekden, Ahmet E., Ugur, Emre, Nagai, Yukie, Oztop, Erhan

“…Little is known about the computational mechanisms of how imitation skills develop along with infant sensorimotor learning. In robotics, there are several well…”
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ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing by Akbulut, M. Tuluhan, Oztop, Erhan, Seker, M. Yunus, Xue, Honghu, Tekden, Ahmet E, Ugur, Emre

“…To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot…”
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Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects by Tekden, Ahmet E, Erdem, Aykut, Erdem, Erkut, Imre, Mert, Seker, M. Yunus, Ugur, Emre

“…In recent years, graph neural networks have been successfully applied for learning the dynamics of complex and partially observable physical systems. However,…”
Get full text