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A new meta-module for efficient reconfiguration of hinged-units modular robots

Authors: Parada, Irene; Sacristán Adinolfi, Vera; Silveira, Rodrigo Ignacio;

A new meta-module for efficient reconfiguration of hinged-units modular robots

Abstract

We present a robust and compact meta-module for edge-hinged modular robot units such as M-TRAN, SuperBot, SMORES, UBot, PolyBot and CKBot, as well as for central-point-hinged ones such as Molecubes and Roombots. Thanks to the rotational degrees of freedom of these units, the novel meta-module is able to expand and contract, as to double/halve its length in each dimension. Moreover, for a large class of edge-hinged robots the proposed meta-module also performs the scrunch/relax and transfer operations required by any tunneling-based reconfiguration strategy, such as those designed for Crystalline and Telecube robots. These results make it possible to apply efficient geometric reconfiguration algorithms to this type of robots. We prove the size of this new meta-module to be optimal. Its robustness and performance substantially improve over previous results.

Peer Reviewed

Keywords

UBot, tunneling-based reconfiguration strategy, Algorismes, PolyBot, robust meta-module, Telecube robots, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica discreta, mobile robots, Molecubes, CKBot, compact meta-module, edge-hinged modular robot units, rotational degrees of freedom, scrunch/ relax operations, M-TRAN, :Matemàtiques i estadística::Matemàtica discreta [Àrees temàtiques de la UPC], Roombots, SMORES, geometric reconfiguration algorithms, Classificació AMS::68 Computer science::68W Algorithms, :68 Computer science::68W Algorithms [Classificació AMS], Crystalline robots, SuperBot, Algorithms, robust control, transfer operations

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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