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Distributed aggregation for modular robots in the pivoting cube model

Sebastian Claici, John W. Romanishin, Jeffrey I. Lipton, Stéphane Bonardi, Kyle Gilpin, Daniela Rus

Year
2017
Citations
3

Abstract

We present a distributed control strategy for the aggregation of multiple modular robots into one connected structure optimized for use with 3D modular pivoting cube robots such as the 3D M-Blocks [1]. We use the intensity from a light source as input to a decentralized control algorithm that drives the robots together. We describe the algorithm, give provable guarantees on convergence, and discuss experiments carried out in simulation and with a hardware platform of ten 3D M-Blocks modules. In this paper we contribute provably correct algorithms for the aggregation of generic modular robots; we show how these algorithms can be applied on real hardware by evaluating them on the 3D M-Blocks platform.

Keywords

Self-reconfiguring modular robotModular designRobotComputer scienceCube (algebra)Convergence (economics)Distributed computingAlgorithmTheoretical computer scienceMobile robot

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