How foundation models will revolutionize robot swarms
Volker Strobel1, Marco Dorigo1, Mario Fritz2
1IRIDIA, Université Libre de Bruxelles, Brussels, Belgium.
Science Robotics
|April 29, 2026
Summary
Foundation models (FMs) can revolutionize robot swarms by designing controllers and enabling better collaboration. This approach enhances swarm flexibility and human-robot interaction for complex tasks.
Area of Science:
- Robotics
- Artificial Intelligence
- Distributed Systems
Background:
- Robot swarms achieve complex tasks via local communication and decentralized coordination.
- Traditional robot controller design is labor-intensive and limits swarm adaptability.
- Existing methods struggle with dynamic mission requirements and emergent behaviors.
Purpose of the Study:
- To explore the potential of onboard foundation models (FMs) in transforming robot swarm design and operation.
- To introduce two novel approaches for integrating FMs into swarm systems.
- To enhance the flexibility, efficiency, and collaborative capabilities of robot swarms.
Main Methods:
- Utilizing FMs as automated swarm designers to generate robot controllers and high-level plans.
- Employing FMs as swarm operators to manage robot-robot collaboration and human-swarm interaction.
- Developing a framework for integrating FMs directly onto swarm robots for real-time decision-making.
Main Results:
- Demonstrated the feasibility of FMs synthesizing effective robot controllers.
- Showcased FMs' capability in performing complex, high-level mission planning.
- Validated the use of FMs to improve inter-robot communication and coordination.
- Facilitated more intuitive human-swarm teaming through FM-driven interaction.
Conclusions:
- Onboard foundation models offer a paradigm shift for robot swarm development and deployment.
- FMs significantly reduce controller design effort and increase swarm adaptability.
- The proposed FM-based approaches promise more sophisticated and flexible swarm behaviors.
- Future work should focus on real-world implementation and scaling FM capabilities for diverse swarm applications.
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