Zobrazeno 1 - 10
of 756
pro vyhledávání: '"Ahmetoglu, A."'
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
Exploratoration and self-observation are key mechanisms of infant sensorimotor development. These processes are further guided by parental scaffolding accelerating skill and knowledge acquisition. In developmental robotics, this approach has been ado
Externí odkaz:
http://arxiv.org/abs/2309.00904
In this paper, 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 with multiple objects on a tabl
Externí odkaz:
http://arxiv.org/abs/2309.00889
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Stereotyping others in a creative process may negatively affect creative output, yet there is currently scant empirical evidence of a link between stereotyping and creativity; here, we explore this link in marketing communications. In a quas
Externí odkaz:
https://doaj.org/article/4a6a2bf7a14144cf94aaab3e46e72137
In this paper, we propose a concept learning architecture that enables a robot to build symbols through self-exploration by interacting with a varying number of objects. Our aim is to allow a robot to learn concepts without constraints, such as a fix
Externí odkaz:
http://arxiv.org/abs/2208.01021
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/6fc39464c7f24f0ab445bb07bcee86d0
Autor:
Olkun, Ali, Kaplan, Hüseyin Kaan, Akay, Sertan Kemal, Ahmetoğlu, Muhitdin, Pat, Suat, Erdoğan, Nursev
Publikováno v:
In Sensors and Actuators: A. Physical 16 August 2024 374
Autor:
Gokay, Dilara, Simsar, Enis, Atici, Efehan, Ahmetoglu, Alper, Yuksel, Atif Emre, Yanardag, Pinar
In this paper, we propose a graph-based image-to-image translation framework for generating images. We use rich data collected from the popular creativity platform Artbreeder (http://artbreeder.com), where users interpolate multiple GAN-generated ima
Externí odkaz:
http://arxiv.org/abs/2108.09752
Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective decision making. In the last decade, deep networks are proven to be effective due to their ability to form increasingly complex
Externí odkaz:
http://arxiv.org/abs/2106.10354
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 a strategy adopted by biolog
Externí odkaz:
http://arxiv.org/abs/2106.08422