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Distributed prediction of unsafe reconfiguration scenarios of modular robotic Programmable Matter

Authors :
Piranda, Benoît
Chodkiewicz, Paweł
Hołobut, Paweł
Bordas, Stéphane P. A.
Bourgeois, Julien
Lengiewicz, Jakub
Source :
IEEE Transactions on Robotics, vol. 37, no. 6, pp. 2226-2233, Dec. 2021
Publication Year :
2020

Abstract

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 inter-modular 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.

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Journal :
IEEE Transactions on Robotics, vol. 37, no. 6, pp. 2226-2233, Dec. 2021
Publication Type :
Report
Accession number :
edsarx.2006.11071
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TRO.2021.3074085