Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter

We present a distributed framework for predicting whether a planned reconfiguration step of a modular robot will mechanically overload the structure, causing it to break or lose stability under its own weight. The algorithm is executed by the modular robot itself and based on a distributed iterative...

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Veröffentlicht in:IEEE transactions on robotics 2021-12, Vol.37 (6), p.2226-2233
Hauptverfasser: Piranda, Benoit, Chodkiewicz, Pawel, Holobut, Pawel, Bordas, Stephane, Bourgeois, Julien, Lengiewicz, Jakub
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Sprache:eng
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Zusammenfassung:We present a distributed framework for predicting whether a planned reconfiguration step of a modular robot will mechanically overload the structure, causing it to break or lose stability under its own weight. The algorithm is executed by the modular robot itself and based on a distributed iterative solution of mechanical equilibrium equations derived from a simplified model of the robot. The model treats intermodular connections as beams and assumes no-sliding contact between the modules and the ground. We also provide a procedure for simplified instability detection. The algorithm is verified in the Programmable Matter simulator VisibleSim , and in real-life experiments on the modular robotic system Blinky Blocks .
ISSN:1552-3098
1941-0468
DOI:10.1109/TRO.2021.3074085