Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter
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Titre | Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter |
Type de publication | Journal Article |
Year of Publication | 2021 |
Auteurs | Piranda B, Chodkiewicz P, Holobut P, Bordas S, Bourgeois J, Lengiewicz J |
Journal | IEEE TRANSACTIONS ON ROBOTICS |
Volume | 37 |
Pagination | 2226-2233 |
Date Published | DEC |
Type of Article | Article |
ISSN | 1552-3098 |
Mots-clés | bending, 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. |
DOI | 10.1109/TRO.2021.3074085 |