Multi-Agent Robotic Systems: Real-World Collaboration and Interaction

Overview

This workshop brings together researchers across robotics, machine learning, and embodied AI to explore how multi-agent robotic systems can achieve seamless collaboration and interaction in real-world environments. We focus on the critical challenges of deploying multi-robot teams in unstructured, dynamic settings—from warehouses and construction sites to households and healthcare facilities—where robots must coordinate with each other and collaborate naturally with humans.

Key themes include robot-robot coordination for complex physical tasks, human-robot teaming and intuitive interaction interfaces, robust perception and communication in real-world conditions, and safe deployment strategies for multi-agent systems operating alongside humans. Through invited talks, paper sessions, and hands-on discussions, we aim to bridge the gap between simulation-based research and practical deployment of collaborative robotic systems.

The workshop will consist of a combination of invited talks and contributed papers, selected through a rigorous review process. We aim to bring together experts from academia and industry to promote cross-disciplinary collaboration. We also plan to provide best paper awards and registration support for students and junior researchers.

Call For Papers

Our workshop is Non-Proceedings—a flexible, non-archival venue for sharing a broad range of contributions without restrictive publishing constraints, formatting requirements, or page limits. We warmly welcome full papers, works-in-progress, datasets, technical reports, and position papers.

Topics of interest include:

Multi-robot coordination for real-world tasks: navigation, manipulation, assembly, and logistics.
Human-robot collaboration: intuitive interfaces, shared autonomy, and natural interaction.
Sim-to-real transfer and robust deployment of multi-agent systems in unstructured environments.
Communication and coordination protocols for heterogeneous robot teams.
Safety, trust, and transparency in human-multi-robot interaction scenarios.
Learning-based approaches (RL, imitation learning) for real-world multi-agent coordination.
Perception, mapping, and situational awareness for collaborative robot teams.
Real-world benchmarks, datasets, and evaluation metrics for multi-agent robotic systems.
Applications in warehousing, healthcare, construction, agriculture, search and rescue, and domestic assistance.

Submission Guidelines

We follow the ICRA 2026 main conference paper format.

Page Limit: 8 pages total (mandatory).

Format: IEEE double-column conference format.

Important Dates

Submission Deadline: May 1, 2026 (AoE)

Notification to Authors: May 10, 2026

Camera-Ready Deadline: May 20, 2026

Submit Paper on OpenReview

Schedule

Time	Event
09:00 – 09:10	Opening remarks
09:10 – 09:30	Invited talk 1 (20 min)
09:40 – 10:00	Invited talk 2 (20 min)
10:10 – 10:40	Oral presentations 1 (15 min × 2)
10:45 – 11:45	Poster session & coffee socials 1 (1h)
11:45 – 13:00	Lunch break
13:00 – 13:20	Invited talk 3 (20 min)
13:30 – 13:50	Invited talk 4 (20 min)
13:50 – 14:20	Oral presentations 2 (15 min × 2)
14:25 – 15:25	Poster session & coffee socials 2 (1h)
15:30 – 15:50	Invited talk 5 (20 min)
16:00 – 16:20	Invited talk 6 (20 min)
16:30 – 17:00	Panel discussion (30 min)
17:00 – 17:15	Awards and conclusive remarks

Invited Speakers

Given the interdisciplinary nature of the topics our workshop aims to cover, we invited 6 keynote speakers with different backgrounds and perspectives on open-world reasoning and decision-making: