activity
20242026
collaborators

7 papers

cs.AI2026

Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction

Nurullah Eymen Özdemir, Erhan Oztop

Human cognitive development is shaped not only by individual effort but by structured social interaction, where role-based exchanges such as those between a tutor and a learner, en…

cs.RO2025

TRUST 2025: SCRITA and RTSS @ RO-MAN 2025

Alessandra Rossi, Patrick Holthaus, Gabriella Lakatos +5

The TRUST workshop is the result of a collaboration between two established workshops in the field of Human-Robot Interaction: SCRITA (Trust, Acceptance and Social Cues in Human-Ro…

cs.CV2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…