首页 /研究 /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

发表年份
2021
引用次数
25
访问权限
开放获取

摘要

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> .

关键词

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

相关论文

查看 OTHER 分类全部论文