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The Role of Time in a Robotic Swarm: A Joint View on Communications, Localization, and Sensing

Emanuel Staudinger, Siwei Zhang, Robert Pöhlmann, Armin Dammann

2021IEEE Communications Magazine32 citationsDOI

Abstract

Autonomous robotic swarms are envisioned for a variety of sensing applications in space exploration, search and rescue, and disaster management. An important capability of a swarm is sensing spatio-temporal processes such as radio wave propagation and seismic activities. The spa-tio-temporal properties of these processes dictate the required sensing position and time accuracy, as well as update rate. A dedicated wireless communication system needs to be jointly designed for swarm information exchange, self-localization, and sensing. In this article, we emphasize the role of time in a robotic swarm. We introduce the system ingredients and dive into realistic clock models. Clock models and channel access schemes decisively influence the swarm self-localization and synchronization accuracy, and consequently the swarm sensing performance. Finally, we discuss practical implementation aspects, introduce our developed swarm radio system, and give an outlook on a moon-analog exploration mission.

Topics & Concepts

Swarm behaviourComputer scienceSwarm roboticsSynchronization (alternating current)Real-time computingWirelessRobotWireless sensor networkSwarm intelligenceClock synchronizationPosition (finance)Distributed computingChannel (broadcasting)Artificial intelligenceParticle swarm optimizationTelecommunicationsComputer networkMachine learningFinanceEconomicsIndoor and Outdoor Localization TechnologiesUnderwater Vehicles and Communication SystemsModular Robots and Swarm Intelligence