6 accepted papers
In human–robot interaction (HRI), detecting a human's gaze helps robots interpret user attention and intent. However, most gaze detection approaches rely on specialized eye-tracking hardware, limiting deployment in everyday set- tings. Appearance-based gaze estimation methods remove this dependency
The present study aims at investigating how humans engage with common communication modalities—speech, tablet, and gesture—when interacting with a humanoid robot. To explore this, we designed a live interaction experiment using a congruence paradigm, where participants engaged with a robot presentin
Speech recognition in Human-Robot Interaction (HRI) fully relies on audio-based Automatic Speech Recognition. However, speech recognition that relies solely on audio faces significant challenges in noisy environments and may lead to poor performance in such environments. One approach to address this
Transfer Learning (TL) is a powerful tool that enables robots to transfer learned policies across different environments, tasks, or embodiments. To further facilitate this process, efforts have been made to combine it with Learning from Demonstrations (LfD) for more flexible and efficient policy tra
This paper presents the design and evaluation of human-like welcoming behaviors for a humanoid robot to draw the attention of passersby by following a three-step model: (1) selecting a target (person) to engage, (2) executing behaviors to draw the target's attention, and (3) monitoring the attentive…
To design good cooperative team members in robotics it is important to know what coordination mechanisms are required. Our approach to explore the need for a coordination mechanism is based on a systematic methodology to identify team coordination requirements. We show that a team combined of robots…