Batuhan Celik

Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers

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 with multiple objects in a tabletop environment. The key feature of the model is