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Dynamic Resilient Containment Control in Multirobot Systems

Matteo Santilli, Mauro Franceschelli, Andrea Gasparri

2021IEEE Transactions on Robotics39 citationsDOIOpen Access PDF

Abstract

In this article, we study the dynamic resilient containment control problem for continuous-time multirobot systems (MRSs), i.e., the problem of designing a local interaction protocol that drives a set of robots, namely the followers, toward a region delimited by the positions of another set of robots, namely the leaders, under the presence of adversarial robots in the network. In our setting, all robots are anonymous, i.e., they do not recognize the identity or class of other robots. We consider as adversarial all those robots that intentionally or accidentally try to disrupt the objective of the MRS, e.g., robots that are being hijacked by a cyber–physical attack or have experienced a fault. Under specific topological conditions defined by the notion of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">(r,s)</i> -robustness, our control strategy is proven to be successful in driving the followers toward the target region, namely a hypercube, in finite time. It is also proven that the followers cannot escape the moving containment area despite the persistent influence of anonymous adversarial robots. Numerical results with a team of 44 robots are provided to corroborate the theoretical findings.

Topics & Concepts

RobotAdversarial systemComputer scienceRobustness (evolution)Artificial intelligenceSet (abstract data type)Class (philosophy)HypercubeMobile robotIdentity (music)Containment (computer programming)Distributed computingComputer securityGeneAcousticsParallel computingProgramming languagePhysicsChemistryBiochemistryDistributed Control Multi-Agent SystemsInfrastructure Resilience and Vulnerability AnalysisSmart Grid Security and Resilience