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Ergodic Specifications for Flexible Swarm Control: From User Commands to\n Persistent Adaptation

Ahalya Prabhakar, Ian Abraham, Annalisa Taylor, Millicent Schlafly, Katarina Popović, Giovani Diniz, Brendan Teich, Borislava I. Simidchieva, Shane Clark, Todd D. Murphey

Year
2020
Citations
2
Access
Open access

Abstract

This paper presents a formulation for swarm control and high-level task\nplanning that is dynamically responsive to user commands and adaptable to\nenvironmental changes. We design an end-to-end pipeline from a tactile tablet\ninterface for user commands to onboard control of robotic agents based on\ndecentralized ergodic coverage. Our approach demonstrates reliable and dynamic\ncontrol of a swarm collective through the use of ergodic specifications for\nplanning and executing agent trajectories as well as responding to user and\nexternal inputs. We validate our approach in a virtual reality simulation\nenvironment and in real-world experiments at the DARPA OFFSET Urban Swarm\nChallenge FX3 field tests with a robotic swarm where user-based control of the\nswarm and mission-based tasks require a dynamic and flexible response to\nchanging conditions and objectives in real-time.\n

Keywords

Swarm behaviourComputer scienceOffset (computer science)Adaptation (eye)Ergodic theoryField (mathematics)User interfaceDistributed computingControl (management)Control engineering

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