Browsing by Author "Nagai, Y."

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Affordance-based altruistic robotic architecture for human–robot collaboration

Imre, M.; Öztop, Erhan; Nagai, Y.; Ugur, E. (Sage, 2019-08)

This article proposes a computational model for altruistic behavior, shows its implementation on a physical robot, and presents the results of human-robot interaction experiments conducted with the implemented system. ...
Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration

Bugur, S.; Öztop, Erhan; Nagai, Y.; Ugur, E. (IEEE, 2021-06)

In this study, we propose an effective action parameter exploration mechanism that enables efficient discovery of robot actions through interacting with objects in a simulated table-top environment. For this, the robot ...
Exploration with intrinsic motivation using object–action–outcome latent space

Sener, M. İ.; Nagai, Y.; Öztop, Erhan; Uğur, E. (IEEE, 2023-06)

One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration ...
Imitation and mirror systems in robots through Deep Modality Blending Networks

Seker, M. Y.; Ahmetoglu, A.; Nagai, Y.; Asada, M.; Öztop, Erhan; Ugur, E. (Elsevier, 2022-02)

Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be ...
Learning to grasp with parental scaffolding

Ugur, E.; Celikkanat, H.; Şahin, E.; Nagai, Y.; Öztop, Erhan (IEEE, 2011)

Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ...
Modeling the development of infant imitation using inverse reinforcement learning

Tekden, A. E.; Ugur, E.; Nagai, Y.; Öztop, Erhan (IEEE, 2018-09)

Little is known about the computational mechanisms of how imitation skills develop along with infant sensorimotor learning. In robotics, there are several well developed frameworks for imitation learning or so called ...
Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills

Ugur, E.; Nagai, Y.; Celikkanat, H.; Öztop, Erhan (Cambridge University Press, 2015-06)

Parental scaffolding is an important mechanism that speeds up infant sensorimotor development. Infants pay stronger attention to the features of the objects highlighted by parents, and their manipulation skills develop ...
Staged development of robot skills: behavior formation, affordance learning and imitation

Ugur, E.; Nagai, Y.; Sahin, E.; Öztop, Erhan (IEEE, 2015-06)

Inspired by infant development, we propose a three staged developmental framework for an anthropomorphic robot manipulator. In the first stage, the robot is initialized with a basic reach-and- enclose-on-contact movement ...

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Browsing by Author "Nagai, Y."

Affordance-based altruistic robotic architecture for human–robot collaboration

Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration

Exploration with intrinsic motivation using object–action–outcome latent space

Imitation and mirror systems in robots through Deep Modality Blending Networks

Learning to grasp with parental scaffolding

Modeling the development of infant imitation using inverse reinforcement learning

Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills

Staged development of robot skills: behavior formation, affordance learning and imitation

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Browsing by Author "Nagai, Y."

Affordance-based altruistic robotic architecture for human–robot collaboration ﻿

Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration ﻿

Exploration with intrinsic motivation using object–action–outcome latent space ﻿

Imitation and mirror systems in robots through Deep Modality Blending Networks ﻿

Learning to grasp with parental scaffolding ﻿

Modeling the development of infant imitation using inverse reinforcement learning ﻿

Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills ﻿

Staged development of robot skills: behavior formation, affordance learning and imitation ﻿

Affordance-based altruistic robotic architecture for human–robot collaboration

Effect regulated projection of robot’s action space for production and prediction of manipulation primitives through learning progress and predictability based exploration

Exploration with intrinsic motivation using object–action–outcome latent space

Imitation and mirror systems in robots through Deep Modality Blending Networks

Learning to grasp with parental scaffolding

Modeling the development of infant imitation using inverse reinforcement learning

Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills

Staged development of robot skills: behavior formation, affordance learning and imitation