Revolutionizing Multi-Robot Systems with LLMs
Enhancing Coordination, Planning, and Human-Robot Interaction
This pioneering survey explores how Large Language Models can transform multi-robot systems by enabling more sophisticated coordination and intelligent task execution.
- Enhanced Communication - LLMs facilitate more natural interactions between robot teams and human operators
- Improved Task Planning - Complex multi-robot tasks can be decomposed and coordinated through language-based planning
- Cross-Domain Applications - Solutions span engineering, construction, security and gaming domains
- Unique MRS Challenges - Addresses coordination, scalability and real-world adaptability issues specific to multi-robot systems
Business Impact: This research provides a roadmap for engineering teams to implement language-powered coordination in robotic fleets, potentially revolutionizing construction, logistics, and manufacturing automation.