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...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on robotics 2021-12, Vol.37 (6), p.2226-2233 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |