Zobrazeno 1 - 10
of 147
pro vyhledávání: '"A. Uğur Emre"'
Autor:
Beyza Özçınar, Gizem Öner, Özer Makay, Aykut Soyder, N. Zafer Cantürk, M. Ümit Uğurlu, Y. Atakan Sezer, Semih Görgülü, Mustafa Girgin, A. İbrahim Özemir, Serdar Özbaş, Bülent Ünal, Rumen Pandev, Serap Erel, A. Uğur Emre, A. İlker Filiz, M. Nuran Akçay, Salih Demircioğlu, S. Ata Güler, Erkan Öztürk, Ramazan Yıldız, Güldeniz Karadeniz Çakmak, Yavuz Kurt, Yeşim Erbil, Bahadır M. Güllüoğlu
Publikováno v:
Asian Journal of Surgery, Vol 45, Iss 1, Pp 407-411 (2022)
Summary: Background: Primary hyperparathyroidism (pHPT) caused by a single benign parathyroid adenoma is a common endocrine disorder that is affected by regional differences. Living in different geographical regions reveals differences in the laborat
Externí odkaz:
https://doaj.org/article/0c83d83555134d05b293c8f63e0b953a
Affordances represent the inherent effect and action possibilities that objects offer to the agents within a given context. From a theoretical viewpoint, affordances bridge the gap between effect and action, providing a functional understanding of th
Externí odkaz:
http://arxiv.org/abs/2404.15648
Autor:
Yildirim, Yigit, Ugur, Emre
Traditional path-planning techniques treat humans as obstacles. This has changed since robots started to enter human environments. On modern robots, social navigation has become an important aspect of navigation systems. To use learning-based techniq
Externí odkaz:
http://arxiv.org/abs/2404.11246
Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when operating in a human-oriented environment. This paper presents a comprehen
Externí odkaz:
http://arxiv.org/abs/2404.04069
Socially compliant navigation is an integral part of safety features in Human-Robot Interaction. Traditional approaches to mobile navigation prioritize physical aspects, such as efficiency, but social behaviors gain traction as robots appear more in
Externí odkaz:
http://arxiv.org/abs/2403.15813
Human brain and behavior provide a rich venue that can inspire novel control and learning methods for robotics. In an attempt to exemplify such a development by inspiring how humans acquire knowledge and transfer skills among tasks, we introduce a no
Externí odkaz:
http://arxiv.org/abs/2403.04001
Autor:
Yildirim, Yigit, Ugur, Emre
Learning from Demonstration (LfD) is a widely used technique for skill acquisition in robotics. However, demonstrations of the same skill may exhibit significant variances, or learning systems may attempt to acquire different means of the same skill
Externí odkaz:
http://arxiv.org/abs/2402.08424
Autor:
Utku, Aydin Emre, Ada, Suzan Ece, Hatipoglu, Muhammet, Derman, Mustafa, Ugur, Emre, Samur, Evren
Metabolic energy consumption of a powered lower-limb exoskeleton user mainly comes from the upper body effort since the lower body is considered to be passive. However, the upper body effort of the users is largely ignored in the literature when desi
Externí odkaz:
http://arxiv.org/abs/2402.00135
Discovering the symbols and rules that can be used in long-horizon planning from a robot's unsupervised exploration of its environment and continuous sensorimotor experience is a challenging task. The previous studies proposed learning symbols from s
Externí odkaz:
http://arxiv.org/abs/2401.01123
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 9, Issue: 5, May 2024)
We observe a large variety of robots in terms of their bodies, sensors, and actuators. Given the commonalities in the skill sets, teaching each skill to each different robot independently is inefficient and not scalable when the large variety in the
Externí odkaz:
http://arxiv.org/abs/2310.13458