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Interplay between neural computational energy and multimodal processing in robot-robot interaction
(IEEE, 2023)
Multimodal learning is an active research area that is gaining importance in human-robot interaction. Despite the obvious benefit of levering multiple sensors for perceiving the world, its neural computational cost has not ...
A model for cognitively valid lifelong learning
(IEEE, 2023)
In continual learning, usually a sequence of tasks are given to a learning agent and the performance of the agent after learning is measured in terms of resistance to catastrophic forgetting, efficacy of knowledge transfer ...
Advancing humanoid robots for social integration: Evaluating trustworthiness through a social cognitive framework
(IEEE, 2023)
Trust is an essential concept for human-human and human-robot interactions. Yet only a few studies have addressed this concept from a robot perspective - that is, forming robot trust in interaction partners. Our previous ...
Discovering predictive relational object symbols with symbolic attentive layers
(IEEE, 2024-02-01)
In this letter, we propose and realize a new deep learning architecture for discovering symbolic representations for objects and their relations based on the self-supervised continuous interaction of a manipulator robot ...
Adaptive inverse kinematics of a 9-DOF surgical robot for effective manipulation
(IEEE, 2019)
In a robotic-assisted surgical system, fine and precise movement is essential. However, when the user wishes to cover a wider area during tele-operation, the configuration designed for precise motion may restrict the user ...
Yapay yaşam simülasyonunda hayatta kalmak
(IEEE, 2017)
Yapay yaşam, doğal yaşamdaki mekanizmaları bilgisayar ortamında taklit ederek bir yandan canlılık hakkında yeni bilgiler üretirken, diğer yandan ise mühendislik alanlarına katkı vermektedir. Bu makale geliştirdiğimiz yapay ...
Shoulder glenohumeral elevation estimation based on upper arm orientation
(IEEE, 2018-10-26)
In this paper, the shoulder glenohumeral displacement during the movement of the upper arm is studied. Four modeling approaches were examined and compared to estimate the humeral head elevation (vertical displacement) and ...
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