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Exploring hybrid local and remote human–robot interaction through touch and speech input with RoSA 3.

A real-time multimodal system for predicting engagement and disengagement in collaborative industrial HRI, using deep learning and rule-based approaches.

A real-time face recognition and tracking system for intuitive HRI, integrating lightweight CNNs and ROS.

Building on a prior Wizard-of-Oz study, this paper presents a fully autonomous RoSA system using speech, face, and gesture input...

Conceptual framework for RoSA — a multi-modal, multi-device human–robot interaction assistant with speech, gesture, and facial recognition.

This study explores natural human–robot interaction using a Wizard-of-Oz approach to understand intuitive user behavior in multimodal robot control.