How can robots efficiently rendezvous with limited power?
Multi-Robot Coordination Under Physical Limitations
This paper proposes an optimal control algorithm for coordinating multiple robots (or agents) to meet at a common point (rendezvous) while minimizing energy consumption and respecting physical limitations like maximum wheel speed. It uses a distributed control approach, meaning each robot makes decisions based on information from its neighbors, rather than a central controller.
The key points relevant to LLM-based multi-agent systems are the concepts of distributed control and consensus. The algorithm offers a method for achieving agreement (consensus) among multiple agents in a distributed manner, which is analogous to coordinating actions and achieving shared goals in multi-agent LLM applications. Furthermore, the paper's consideration of constraints and optimization is relevant to managing resources and achieving desired outcomes in real-world multi-agent LLM deployments. The "bang-bang" control strategy used to handle constraints could inspire similar constraint management techniques in LLM agents.