How to plan robot team deployment with limited communication?
Communication-aware planning for robot teams deployment
March 25, 2025
https://arxiv.org/pdf/2503.18545This paper proposes algorithms for efficiently deploying a team of robots to explore an area and maintain communication with a base station, especially in obstacle-rich environments. It uses a modified Fast Marching Method (FMM) that incorporates signal strength information to plan paths maximizing connectivity. The system includes a centralized deployment planner that determines the best locations for relay robots, and a clustering algorithm to minimize the number of robots needed.
Key takeaways for LLM-based multi-agent web development:
- Communication-Aware Pathfinding: The modified FMM concept can inspire similar algorithms for routing information between agents in a network, considering factors like bandwidth or latency as analogous to signal strength.
- Dynamic Role Allocation: The system's ability to automatically assign roles (primary task vs. relay) can translate to dynamic task assignment for web agents based on current network conditions or task load.
- Centralized Planning, Distributed Execution: The paper's approach uses centralized planning to optimize the overall mission, then distributed execution for each robot/agent. This hybrid approach is relevant to web agents collaborating on a complex task, where a central LLM might initially coordinate the sub-tasks.
- Clustering for Optimization: The clustering algorithm, which groups tasks to minimize the number of agents, is applicable to optimizing resource allocation in multi-agent web systems.
- Reactive Replanning: The system's ability to adjust to changes in the environment or signal strength offers valuable insights into building resilient and adaptable multi-agent web apps that can handle dynamic conditions.