Browsing Faculty of Engineering by Author "Ahmetoglu, A."
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Deepsym: Deep symbol generation and rule learning for planning from unsupervised robot interaction
Ahmetoglu, A.; Seker, M. Y.; Piater, J.; Öztop, Erhan; Ugur, E. (AI Access Foundation, 2022)Symbolic planning and reasoning are powerful tools for robots tackling complex tasks. However, the need to manually design the symbols restrict their applicability, especially for robots that are expected to act in open-ended ... -
Developmental scaffolding with large language models
Çelik, B.; Ahmetoglu, A.; Ugur, E.; Öztop, Erhan (IEEE, 2023)Exploration and self-observation are key mechanisms of infant sensorimotor development. These processes are further guided by parental scaffolding to accelerate skill and knowledge acquisition. In developmental robotics, ... -
Discovering predictive relational object symbols with symbolic attentive layers
Ahmetoglu, A.; Celik, B.; Öztop, Erhan; Uğur, E. (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 ... -
High-level features for resource economy and fast learning in skill transfer
Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective and efficient decision making. Although, deep neural networks are proven to be effective learning ... -
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 ...
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