Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Wu, Di; Wei, Xian; Chen, Guang; Shen, Hao; Jin, Bo

doi:10.24963/ijcai.2025/1190

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Survey Track. Pages 10723-10732.

https://doi.org/10.24963/ijcai.2025/1190

Keywords

Agent-based and Multi-agent Systems: MAS: Agent communication
Agent-based and Multi-agent Systems: General
Agent-based and Multi-agent Systems: MAS: Applications
Agent-based and Multi-agent Systems: MAS: Multi-agent learning
Agent-based and Multi-agent Systems: MAS: Multi-agent planning
Agent-based and Multi-agent Systems: MAS: Coordination and cooperation
Agent-based and Multi-agent Systems: MAS: Human-agent interaction

Abstract

Embodied multi-agent systems (EMAS) have attracted growing attention for their potential to address complex, real-world challenges in areas such as logistics and robotics. Recent advances in foundation models pave the way for generative agents capable of richer communication and adaptive problem-solving. This survey provides a systematic examination of how EMAS can benefit from these generative capabilities. We propose a taxonomy that categorizes EMAS by system architectures and embodiment modalities, emphasizing how collaboration spans both physical and virtual contexts. Central building blocks, perception, planning, communication, and feedback, are then analyzed to illustrate how generative techniques bolster system robustness and flexibility. Through concrete examples, we demonstrate the transformative effects of integrating foundation models into embodied, multi-agent frameworks. Finally, we discuss challenges and future directions, underlining the significant promise of EMAS to reshape the landscape of AI-driven collaboration.

Di Wu, Xian Wei, Guang Chen, Hao Shen, and Bo Jin. 2025. Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 10723–10732. https://doi.org/10.24963/ijcai.2025/1190

@inproceedings{ijcai2025p1190,
  title     = {Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review},
  author    = {Wu, Di and Wei, Xian and Chen, Guang and Shen, Hao and Jin, Bo},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {10723--10732},
  year      = {2025},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2025/1190},
  url       = {https://doi.org/10.24963/ijcai.2025/1190},
}

TY  - CPAPER
TI  - Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
AU  - Wu, Di
AU  - Wei, Xian
AU  - Chen, Guang
AU  - Shen, Hao
AU  - Jin, Bo
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 10723
EP  - 10732
DO  - 10.24963/ijcai.2025/1190
UR  - https://doi.org/10.24963/ijcai.2025/1190
ER  -