Home /Research /Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter
OTHER

Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter

Benoît Piranda, Paweł Chodkiewicz, P. Hołobut, Stéphane Bordas, Julien Bourgeois, Jakub Lengiewicz

Year
2021
Citations
25
Access
Open access

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 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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VisibleSim</i> , and in real-life experiments on the modular robotic system <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Blinky Blocks</i> .

Keywords

Modular designControl reconfigurationRobotSelf-reconfiguring modular robotComputer scienceRoboticsEmbedded systemArtificial intelligenceMobile robotRobot control

Related papers

Browse all OTHER papers