Communication-Aware Formation Control for Multi-Robot Systems: A Review of Protocols and Verification Methods

Tan Wai Ming

Abstract


Formation control of multi-robot systems fundamentally depends on inter-agent communication, yet most control algorithms assume idealized communication conditions that rarely hold in practical deployments. This comprehensive review examines communication-aware formation control approaches that explicitly account for bandwidth limitations, packet loss, transmission delays, and dynamic network topologies. We systematically categorize formation control protocols into consensus-based, leader-follower, behavioral, and virtual structure paradigms, analyzing how each addresses communication constraints. The review evaluates graph-theoretic approaches that co-design communication topologies and control laws, ensuring formation stability under minimal connectivity requirements. Particular emphasis is placed on event-triggered and self-triggered communication strategies that reduce network traffic while maintaining formation performance, examining trade-offs between communication frequency and control accuracy. We analyze protocols for formation reconfiguration under communication link failures, including topology switching strategies and graceful degradation mechanisms. The paper comprehensively reviews verification methods for communication-aware formation control, spanning Lyapunov-based stability analysis, model checking of hybrid systems, barrier certificates for safety guarantees, and statistical model checking for probabilistic properties. Formal verification challenges arising from the interplay between continuous vehicle dynamics and discrete communication events are examined in detail. We evaluate simulation and experimental validation methodologies, identifying gaps between theoretical guarantees and practical performance. The review covers emerging approaches including learning-based communication scheduling, semantic communication that transmits task-relevant information rather than raw data, and quantum communication protocols for secure coordination. Application-specific considerations are discussed for aerial swarms requiring rapid reconfiguration, underwater formations with acoustic communication constraints, and ground robot teams in GPS-denied environments. The paper identifies critical research gaps including scalability of verification methods to large formations, handling of adversarial communication disruptions, and integration with higher-level mission planning layers, providing directions for advancing the theoretical foundations and practical deployment of communication-aware multi-robot systems.

Keywords


formation control, multi-robot systems, communication protocols, formal verification.

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