Multi-Agentic Systems in HRI (MAgicS-HRI): Bridging Design and Real-World Challenges for End Users

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Authors: Yan Zhang, Sarah Schömbs, Xiang Pan, Jan Leusmann, Sara Mongile, Mohammad Obaid, Wafa Johal
Cited by: 0
References: 17

Abstract

Recent developments in large language models and multi-agentic systems present both opportunities and challenges for Human-Robot Interaction (HRI). However, it remains unclear how the interaction paradigms will be reshaped due to the growing complexity and opaqueness. Therefore, to bridge this gap and connect users with multi-agentic systems through embodied robot agents, this workshop aims to explore solutions for design challenges of multi-agentic systems on various types of robots in real-world contexts. Through a complementary mix of focus groups, including design activities and paper presentations, our workshop generates design considerations for real-world applications and outlines pioneering research agendas for multi-agentic systems in HRI.

Fields of Study & Subjects

Social Robot Interaction and HRI Speech and dialogue systems Innovative Human-Technology Interaction

Publication details

Journal / source
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Pages
1369–1371
Publication date
12 March 2026
Language
EN