ORIGINAL RESEARCH article
Front. Robot. AI
Sec. Human-Robot Interaction
Volume 12 - 2025 | doi: 10.3389/frobt.2025.1561188
Robot System Assistant (RoSA): Evaluation of Touch and Speech input Modalities for on-site HRI and Telerobotics
Provisionally accepted
- Otto von Guericke University Magdeburg, Magdeburg, Germany
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Future work scenarios envision increased collaboration between humans and robots, emphasizing the need for versatile interaction modalities. Robotic systems can support various use cases, including on-site operations and telerobotics. This study investigates a hybrid interaction model in which a single user engages with the same robot both on-site and remotely. Specifically, the Robot System Assistant (RoSA) framework is evaluated to assess the effectiveness of touch and speech input modalities in these contexts. The participants interact with two robots, Rosa and Ari, utilizing both input modalities. The results reveal that touch input excels in precision and task efficiency, while speech input is preferred for its intuitive and natural interaction flow. These findings contribute to understanding the complementary roles of touch and speech in hybrid systems and their potential for future telerobotic applications.
Keywords: human-robot interaction, telerobotics, Touch, Speech, multimodal, user study, Cobot, remote robotics
Received: 15 Jan 2025; Accepted: 24 Jun 2025.
Copyright: © 2025 Strazdas, Busch, Shaji, Siegert and Al-Hamadi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dominykas Strazdas, Otto von Guericke University Magdeburg, Magdeburg, Germany
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