Multi-Robot Exploration in Communication-Constrained Environments

Exploration of unknown or hazardous environments by a team of robots has become pivotal in applications ranging from disaster response to planetary mapping. In scenarios where communication bandwidth is limited or link stability is intermittent, teams must balance thorough coverage with the need to maintain sufficient connectivity for data sharing and coordination. State-of-the-art approaches integrate adaptive task assignment, decentralised decision making and dynamic network maintenance to ensure that robots remain both effective explorers and reliable information relays. Robustness is achieved through strategies that allow robots to operate autonomously when disconnected, then efficiently synchronise maps and sensor data upon reconnection. Recent developments have emphasised context-aware relay placement, multi-objective optimisation to trade off exploration speed against connectivity, and modular control architectures that can switch seamlessly between local autonomy and collaborative planning. Real-world deployments in subterranean tunnels, large outdoor installations and complex urban environments have demonstrated the practical value of these methods, paving the way for resilient multi-robot systems capable of operating in the most demanding communication-constrained settings.

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Multi-Robot Exploration in Communication-Constrained Environments publication trend

The graph below shows the total number of articles in multi-robot exploration in communication-constrained environments across all publications each year (not limited to Nature Index journals).

Technical terms

Frontier-based exploration: A strategy that directs robots to the boundary between known and unknown space to maximise new area coverage.

Multi-objective optimisation: An algorithmic process that balances two or more criteria—such as exploration speed and connectivity quality—simultaneously.

Relay placement: The dynamic positioning of intermediary robots or nodes to extend communication range and maintain network links.

Ad hoc network: A self-organising wireless network formed on-the-fly among robots without fixed infrastructure, enabling peer-to-peer message routing.

References

1. An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments. Applied Sciences (2019).
2. Collaborative 3D Scene Reconstruction in Large Outdoor Environments Using a Fleet of Mobile Ground Robots. Sensors (2022).
3. CARA: Connectivity-Aware Relay Algorithm for Multi-Robot Expeditions. Sensors (2022).