论文标题
模块化机器人可编程物质的不安全重新配置方案的分布式预测
Distributed prediction of unsafe reconfiguration scenarios of modular robotic Programmable Matter
论文作者
论文摘要
我们提出了一个分布式框架,用于预测模块化机器人的计划重新配置步骤是否会机械地超载结构,从而导致其在自身的重量下破裂或失去稳定性。该算法由模块化机器人本身执行,并基于从机器人的简化模型中得出的机械平衡方程的分布式迭代解。该模型将模块间连接视为梁,并假定模块与地面之间的无滑动接触。我们还提供了一个简化不稳定性检测的程序。该算法在可编程的模拟器visiblesim和模块化机器人系统眨眼块上的现实实验中进行了验证。
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.