The field of multi-agent cooperative systems and swarm robotics has advanced rapidly, particularly in autonomous driving, where large-scale datasets and algorithm breakthroughs have improved vehicle coordination. Multi-agent coordination in robotics has also seen progress in applications like search-and-rescue and industrial automation, enhancing adaptability in dynamic environments. However, challenges remain in real-time perception, communication efficiency, and cooperative decision-making. Existing frameworks often rely on predefined models and handcrafted policies, which struggle to generalize to diverse, unstructured scenarios. Recent advances in generative AI and large language models (LLMs) offer promising solutions, enabling adaptive policy learning and bridging the gap between simulation and reality. These developments also enhance human-robot interaction and coordination. While recent workshops have focused on LLMs and generative AI in single-agent tasks, this workshop introduces a new perspective by integrating generative AI with multi-agent systems. Through talks, posters, and panels, we aim to foster discussions on data-efficient learning, communication-aware cooperation, and scalable deployment, bridging research with real-world multi-agent applications.
We invite submissions including but not limited to the following topics:
- Multi-Agent\Swarm Robotic Systems
- Cooperative Autonomous Driving
- Generative AI in Cooperative Systems
- Large-Scale Multi-Robot Systems and Swarms
- Cooperative Motion Prediction and Decision-Making
- Data and Security in Cooperative Systems
- Large Language Model-assisted Cooperative Systems
- Communication-Efficient Cooperative Perception
- Swarm of Drones and Aerial Robots
Important Dates
- Call for Papers/Demos: May. 10th
- Submission Open: May. 15th
- Submission Deadline:
Sept. 28thOct. 7th - Notifications of Acceptance: Oct. 14th
- Camera-ready Deadline: Oct. 17th
Submission Guidelines
We solicit extended abstracts up to 3 pages (excluding references and supplementary material). All accepted contributions will be presented during the interactive poster sessions.
Click here to submit your paper: Submit your paper
Submission Template & Link
All submissions must follow the official IEEE conference format.Click here to view the submission templates.
Poster
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly.
Yan Shen, Ruihai Wu, Yubin Ke, Xinyuan Song, Zeyi Li, Xiaoqi Li, Hongwei Fan, Haoran Lu, Hao Dong
Decentralized Aerial Manipulation of a Cable-Suspended Load Using Multi-Agent Reinforcement Learning.
Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky, Javier Alonso-Mora, Sihao Sun
Distributed Multi-Robot Ergodic Coverage Control for Estimating Time-Varying Spatial Processes.
Mattia Mantovani, Mattia Catellani and Lorenzo Sabattini
HMA-SAR: Multi-Agent Search and Rescue for Unknown Located Dynamic Targets in Completely Unknown Environments.
Xiao Cao
RVC-NMPC: Mutual Collision Avoidance for Agile UAV Flight via Nonlinear Model Predictive Control with Reciprocal Velocity Constraints.
Vít Krátký, Robert Pěnička, Parakh Manoj Gupta, and Martin Saska
CAT-ORA: Collision-Aware Time-Optimal Formation Reshaping for Efficient Robot Coordination in 3D Environments.
Vit Kratky, Robert Penicka , Jiri Horyna , Petr Stibinger , Tomas Baca , Matej Petrlik ,Petr Stepan , Martin Saska
Subsystem Safety Filtering: A Unified Framework for Safe Shared Control in Coupled Robotic Systems.
Federico Pizarro Bejarano, Lukas Brunke, and Angela P. Schoellig
LLM-Enhanced Constraint Programming for Task Planning in Heterogeneous Multi-Agent Systems.
Jozsef Palmieri, Martina Lippi, Alessandro Marino
Cooperative Multi-Finger Manipulation of Force-Sensitive Objects via Graph Rigidity.
Xinan Rong, Changhuang Wan, Aochen He, Xiaolong Li and Gangshan Jing
Swarming tight interactions for achieving resistibility of large robotic systems in real-world conditions.
Jiri Horyna, Martin Saska
Incorporating Indirect Reciprocity into Reinforcement Learning for Multi-Robot Collaboration in Mixed-Motive Stochastic Games.
Yuxin Geng, Xingru Chen
Accelerating Multi-Agent Reinforcement Learning with LLM-Generated Reward Patches.
Bowen Lv
SyncMap: Predictive State Bridging for Consistent BEV Sharing in Multi-Vehicle V2X Collaboration.
Wei Duan, Xiao Wu, Yibo Wang, Minghao Yu, Kai Liu, and Jian Zhou
Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy.
Weixu Zhu, Marco Dorigo, Mary Katherine Heinrich
Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Randomized SOM-Based Q-Learning.
Gordei Verbii
MorphoNavi: Aerial-Ground Robot Navigation with Object Oriented Mapping in Digital Twin.
Sausar Karaf, Mikhail Martynov, Oleg Sautenkov, Zhanibek Darush, Dzmitry Tsetserukou
Multi-Agent Pose Uncertainty: A Differentiable Rendering Cramér-Rao Bound.
Arun Muthukkumar
Swarm Control via ODE-Driven Optimal Transport-Based Renormalization Group Flow.
Gordei Verbii
| Time | Activity | Details |
|---|---|---|
| 13:00–13:25 | Invited talk (Guido de Croon) | Swarms of tiny drones: from simulation to reality |
| 13:25–13:50 | Invited talk (Javier Alonso-Mora) | Learning-Driven Approaches to Motion Planning, Multi-Robot Task Allocation, and Collaborative Aerial Manipulation |
| 13:50–14:05 | Invited talk (Di Guo) | LLM-powered Multi-agent System and Proactive Collaboration |
| 14:05–14:30 | Invited talk (Konstantin Yakovlev) | Multi-agent Path Finding: Heuristic Search Meets Machine Learning |
| 14:30–14:55 | Invited talk (Boyu Zhou) | Active Perception with Autonomous Aerial Robots |
| 14:55–15:25 | Poster session | Coffee Break & Poster session |
| 15:25–15:50 | Invited talk (Siqi Zhou) | Aerial Swarm: From Methods to Tools Enabling Safe Coordination and Language-Based Interaction |
| 15:50–16:15 | Invited talk (Volker Strobel) | How foundation models will revolutionize robot swarms |
| 16:15–16:40 | Invited talk (Cao Yuhong) | High-Dimensional Multi-Agent Robot Learning |
| 16:40–17:00 | Awards Session | — |
Note: We are currently extending invitations to other eminent research scholars, so please stay tuned for updates.
Contact: If you have any questions, please contact us at: changliucoe@pku.edu.cn or liuyc@pku.edu.cn.
