Distributed prediction of unsafe reconfiguration scenarios of modular robotic Programmable Matter
Piranda, Benoît, Chodkiewicz, Paweł, Hołobut, Paweł, Bordas, Stéphane P. A., Bourgeois, Julien, Lengiewicz, Jakub
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
May-3-2021
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- France > Bourgogne-Franche-Comté (0.04)
- Poland > Masovia Province
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- Europe
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- Research Report (0.40)
- Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)