Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter

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TitreDistributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter
Type de publicationJournal Article
Year of Publication2021
AuteursPiranda B, Chodkiewicz P, Holobut P, Bordas S, Bourgeois J, Lengiewicz J
JournalIEEE TRANSACTIONS ON ROBOTICS
Volume37
Pagination2226-2233
Date PublishedDEC
Type of ArticleArticle
ISSN1552-3098
Mots-clésbending, Computational modeling, Convergence, distributed algorithms, Mathematical model, mechanical constraints, Modular robots, programmable matter, Robots, Self-reconfiguration, Topology, Torque
Résumé

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.

DOI10.1109/TRO.2021.3074085