FM-MRS @ IROS 2026

Foundation Models in Multi-Robot Systems

IROS 2026 Workshop  |  Pittsburgh, PA, USA  |  Sep 27 – Oct 1, 2026
Half-day Workshop Morning Session Invited Talks & Posters

Overview

Foundation models, including large language models (LLMs) and vision-language models (VLMs), are rapidly transforming robotics by enabling semantic reasoning, language-guided planning, and richer perception capabilities. This workshop focuses on foundation models in multi-robot systems, exploring how large-scale pretrained models can support coordination, decision making, and mission specification across robot teams operating in complex environments.

The workshop highlights emerging directions such as LLM- and VLM-driven multi-robot coordination, heterogeneous robot collaboration, language-specified missions, decentralized reasoning architectures, and reliability mechanisms including constraint checking and conformal prediction. Compared with recent workshops that primarily focus on LLM-enabled robotics, this workshop emphasizes team-level autonomy and system-level scalability, examining how foundation models can facilitate coordination, communication, and planning across multiple robots.

The workshop will bring together researchers from multi-robot systems, robot learning, planning, and large-scale AI models, as well as industry practitioners developing and deploying robotic fleets. Through invited talks, lightning presentations, and interactive discussions, the workshop aims to identify key challenges, share emerging methodologies, and outline future research directions at the intersection of foundation models and multi-robot autonomy.

Invited Speakers

Nicholas Roy
MIT
Foundation Models and Symbol Grounding for Multirobot Systems
Chuchu Fan
MIT
LLMs and VLMs Can Solve Real-World Planning Rigorously with Formal Reasoning Tools
Ameya Agaskar
Ameya Agaskar
Amazon Robotics
DEEPFLEET: Multi-Agent Foundation Models for Mobile Robots
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Program Schedule

Time Session Details
8:30 – 8:35 Opening Remarks Workshop overview and introduction
8:35 – 9:00 Invited Talk 1 Nicholas Roy (MIT) — Foundation Models and Symbol Grounding for Multirobot Systems
9:00 – 9:25 Invited Talk 2 Chuchu Fan (MIT) — LLMs and VLMs Can Solve Real-World Planning Rigorously with Formal Reasoning Tools
9:25 – 9:50 Invited Talk 3 TBD
9:50 – 10:15 Invited Talk 4 TBD
10:15 – 10:30 Contributed Spotlight Talks Lightning presentations from accepted submissions
10:30 – 11:00 Coffee Break Poster presentations and networking
11:00 – 11:25 Invited Talk 5 Ameya Agaskar (Amazon Robotics) — DEEPFLEET: Multi-Agent Foundation Models for Mobile Robots
11:25 – 11:50 Invited Talk 6 TBD
11:50 – 12:25 Panel Discussion Open Q&A and discussion on future directions
12:25 – 12:30 Closing Remarks

Call for Papers

We invite submissions of extended abstracts (2–4 pages) on topics including but not limited to:

  • LLM- and VLM-driven multi-robot coordination and planning
  • Language-specified missions for heterogeneous robot teams
  • Foundation-model-based decentralized reasoning and multi-robot communication
  • Reliability and safety of foundation models in robot teams: constraint checking, formal verification, and conformal prediction
  • Foundation models for multi-agent decision making and task allocation
  • Real-world deployment of foundation-model-enabled robot fleets

Submission details coming soon. Accepted papers will be presented as spotlight talks and/or posters.

Organizers

Lifeng Zhou
Drexel University
Jiachen Li
UC Riverside
Varun Murali
Texas A&M University
Yiannis Kantaros
Washington University in St. Louis
Byung-Cheol Min
Indiana University Bloomington
Vijay Kumar
University of Pennsylvania

Contact

For inquiries, please contact Lifeng Zhou at Drexel University.