IROS 2025 Workshop
Multi-Robot Systems Empowered by Large Language Models
Multi-robot systems have long been a core field of robotics research, yet their full potential remains untapped due to challenges in generalizability and intelligence. While single-robot systems have seen significant advancements in the last year, particularly with the help of large language models (LLMs), multi-robot systems are now poised for a transformative leap.
This workshop aims to explore the intersection of large models and multi-robot systems, focusing on key areas such as collaborative task planning, navigation, object transport, decision-making, formation control, and motion planning. By bringing together leading experts in the field, we will discuss how large models can enhance the capabilities of multi-robot systems, enabling them to tackle complex, real-world tasks with greater efficiency and adaptability. This workshop will not only highlight the latest advancements but also foster interdisciplinary collaboration, attracting researchers from both robotics and AI communities.
Speakers
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Ming Cao, Professor of systems and control with the Engineering and Technology Institute, University of Groningen, Groningen, Netherlands. His main research interests include autonomous agents, multiagent systems, and complex networks. |
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Zhiqiang Pu, Professor at the Institute of Automation, Chinese Academy of Sciences. His research interests include decision intelligence, collective intelligence, and their applications in unmanned systems. |
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Tanja Katharina Kaiser, Senior researcher at the University of Technology Nuremberg, Germany. Her main research interests include multi-robot systems, evolutionary robotics, and generative AI techniques in multi-robot systems. |
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Dong Xue, Associate Professor at East China University of Science and Technology, China. His research interests include opinion dynamics and social networks, distributed modeling, control and optimization. |
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Zhiyong Sun, Assistant Professor at Peking University, China. His research interests include multi-robotic systems, autonomous motion planning, distributed control and optimization. |
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Shiyu Zhao, Associate Professor in the Department of Artificial Intelligence at Westlake University, Hangzhou, China. His research interests include multi-robot systems, decision-making and control based on reinforcement learning and large language models. |
Schedule
Time |
Speaker |
Talk Title |
08:30 - 09:00 |
Shiyu Zhao |
Opening speech & Multi-Robot Task Planning via Large Language Models |
09:00 - 09:30 |
Ming Cao |
Cooperative Navigation and Exploration via Large Language Models |
09:30 - 10:00 |
Zhiqiang Pu |
How Large Models and Multi-Agent Learning Empower Each Other |
10:00 - 10:10 |
Tea Break |
|
10:10 - 10:40 |
Tanja Katharina Kaiser |
Collective Object Transport Using Foundation Models |
10:40 - 11:10 |
Dong Xue |
LLM-Driven Formation Control and Path Planning for Multi-Robot Systems |
11:10 - 11:40 |
Zhiyong Sun |
LLM-Enabled STL-Centered Robot Motion Planner |
11:40 - 12:10 |
Panel Discussion |
Open discussion with all speakers & Summary and future directions |
Organizers
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Shiyu Zhao, Associate Professor, Westlake University, Hangzhou, China Website: https://www.shiyuzhao.net |
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Zhiyong Sun, Assistant Professor, Peking University, Beijing, China |
|
Roderich Gross, Professor, Technical University of Darmstadt, Darmstadt, Germany & The University of Sheffield, Sheffield, UK |
This website was last updated in Mar 2025
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