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Sheepdog-type robot navigation: Experimental verification based on a linear model

Yusuke Tsunoda, Yuichiro SUEOKA, Teruyo Wada, Koichi Osuka

Year
2020
Citations
6

Abstract

This paper demonstrates the sheepdog-type robot navigation based on the linearized model of sheep flock and the sheepdogs. What we call the sheepdog system is the wonderful group phenomenon in which a small number of sheepdogs collaborates to manipulate up to one thousand sheep flock indirectly by using their own maneuverability. In order to grasp the key of the navigation mechanisms: the stability and the scalability of the system, we design the sheepdog system based on the linearized model. Firstly, we derive the stability condition of the system; we also verify it by the numerical simulations. Secondly, we conduct robot demonstrations with five sheep robots and two sheepdog robots to verify the system in the real world.

Keywords

RobotComputer scienceGRASPScalabilityStability (learning theory)Mobile robotSimulationArtificial intelligence

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