5 papers · 1 filter
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
A. Enes Doruk, Erhan Oztop, Hasan F. Ates
Unsupervised Domain Adaptation (UDA) aims to utilize labeled data from a source domain to solve tasks in an unlabeled target domain, often hindered by significant domain gaps. Trad…
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
Mehmet Arda Eren, Erhan Oztop
In self-supervised robotic learning, agents acquire data through active interaction with their environment, incurring costs such as energy use, human oversight, and experimental ti…
Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis
Zahra Koulaeizadeh, Erhan Oztop
A random recurrent neural network, called a reservoir, can be used to learn robot movements conditioned on context inputs that encode task goals. The Learning is achieved by mappin…
Learning secondary tool affordances of human partners using iCub robot's egocentric data
Bosong Ding, Erhan Oztop, Giacomo Spigler +1
Objects, in particular tools, provide several action possibilities to the agents that can act on them, which are generally associated with the term of affordances. A tool is typica…
Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
Hakan Aktas, Yukie Nagai, Minoru Asada +3
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…