Nave Gary K, Mitchell Nelson T, Chan Dick Jordan A, Schuessler Tyler, Lagarrigue Joaquin A, Peleg Orit
BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, United States.
Computer Science, University of Colorado Boulder, Boulder, CO, United States.
Front Robot AI. 2020 Mar 4;7:25. doi: 10.3389/frobt.2020.00025. eCollection 2020.
Many insect species, and even some vertebrates, assemble their bodies to form multi-functional materials that combine sensing, computation, and actuation. The tower-building behavior of red imported fire ants, , presents a key example of this phenomenon of collective construction. While biological studies of collective construction focus on behavioral assays to measure the dynamics of formation and studies of swarm robotics focus on developing hardware that can assemble and interact, algorithms for designing such collective aggregations have been mostly overlooked. We address this gap by formulating an agent-based model for collective tower-building with a set of behavioral rules that incorporate local sensing of neighboring agents. We find that an attractive force makes tower building possible. Next, we explore the trade-offs between attraction and random motion to characterize the dynamics and phase transition of the tower building process. Lastly, we provide an optimization tool that may be used to design towers of specific shapes, mechanical loads, and dynamical properties, such as mechanical stability and mobility of the center of mass.
许多昆虫物种,甚至一些脊椎动物,会将它们的身体组装成多功能材料,这些材料结合了传感、计算和驱动功能。红火蚁的筑塔行为就是这种集体构建现象的一个关键例子。虽然集体构建的生物学研究侧重于通过行为测定来测量形成动态,群体机器人学研究侧重于开发能够组装和交互的硬件,但设计此类集体聚集的算法大多被忽视了。我们通过制定一个基于代理的集体筑塔模型来填补这一空白,该模型具有一组包含对相邻代理进行局部感知的行为规则。我们发现一种吸引力使筑塔成为可能。接下来,我们探索吸引力与随机运动之间的权衡,以表征筑塔过程的动态和相变。最后,我们提供了一个优化工具,可用于设计具有特定形状、机械负载和动态特性(如机械稳定性和质心移动性)的塔。