10 papers
GestAdapt: Workspace-Conditioned Co-Speech Gesture Generation for Humanoid Robots
Bosong Ding, Xianglin Zhang, Miao Xin +2
Co-speech gestures for robots must adapt not only to speech and embodiment, but also to the workspace available for performing the motion. Since the same speech can be accompanied…
Co-Speech with You: Training-Free Personalization of Robot Co-Speech Gestures
Bosong Ding, Selma Ancel, Giacomo Spigler +1
Personal robots should adapt their co-speech gesture style to a new user without requiring model retraining. We present a training-free personalization pipeline that combines a fro…
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…
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…
Imitation of human motion achieves natural head movements for humanoid robots in an active-speaker detection task
Bosong Ding, Murat Kirtay, Giacomo Spigler
Head movements are crucial for social human-human interaction. They can transmit important cues (e.g., joint attention, speaker detection) that cannot be achieved with verbal inter…
From Human to Robot Interactions: A Circular Approach towards Trustworthy Social Robots
Anna L. Lange, Murat Kirtay, Verena V. Hafner
Human trust research uncovered important catalysts for trust building between interaction partners such as appearance or cognitive factors. The introduction of robots into social i…
Challenges in Designing Teacher Robots with Motivation Based Gestures
Hae Seon Yun, Volha Taliaronak, Murat Kirtay +5
Humanoid robots are increasingly being integrated into learning contexts to assist teaching and learning. However, challenges remain how to design and incorporate such robots in an…
iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot
Kas Kniesmeijer, Murat Kirtay
This study uses multisensory data (i.e., color and depth) to recognize human actions in the context of multimodal human-robot interaction. Here we employed the iCub robot to observ…
A Multisensory Learning Architecture for Rotation-invariant Object Recognition
Murat Kirtay, Guido Schillaci, Verena V. Hafner
This study presents a multisensory machine learning architecture for object recognition by employing a novel dataset that was constructed with the iCub robot, which is equipped wit…
The iCub multisensor datasets for robot and computer vision applications
Murat Kirtay, Ugo Albanese, Lorenzo Vannucci +3
This document presents novel datasets, constructed by employing the iCub robot equipped with an additional depth sensor and color camera. We used the robot to acquire color and dep…