Self-Repairing Line of Metamorphic Robots

Nooshin Nokhanji, N. Santoro
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引用次数: 2

Abstract

A Metamorphic Robots System is a modular self-reconfigurable robotic system composed of autonomous mobile modules in a 2D (or 3D) regular grid. The modules have limited computational capabilities, interact only with neighboring modules, and can move around adjacent modules from a cell to an empty neighboring cell under specific conditions. An important well-studied problem for these robotic systems is Motion Planning, also known as Shape Formationor Self-reconfiguration, requiring the modules to organize themselves into a pre-determined final configuration (i.e., shape); basic shapes such as the line (or chain) are especially important as they are utilized as a foundation for constructing more complicated shapes and are an initial measure for handling complicated tasks. A metamorphic robots system could offer a higher degree of reliability and robustness compared to fixed-architecture robots due to its capacity to self-repair: should some modules fail and no longer move, the shape could be reconstructed by the non-faulty modules. To do this correctly, efficiently, and without restricting the autonomy of the modules is a non-trivial task. In this paper, we study the Line Recoveryproblem, requiring the non-faulty modules to reconstruct the line without violation of connectivity requirements at any time during the recovery procedure. A thorough feasibility characterization of the problem, the necessary conditions for its solvability, and an algorithm that solves the problem, regardless of the number and distribution of faults, are provided.
变形机器人的自修复线
变形机器人系统是由2D(或3D)规则网格中的自主移动模块组成的模块化自重构机器人系统。这些模块的计算能力有限,只能与相邻模块交互,并且可以在特定条件下将相邻模块从一个单元移动到一个空的相邻单元。这些机器人系统的一个重要的充分研究的问题是运动规划,也称为形状形成或自我重新配置,要求模块将自己组织成一个预先确定的最终配置(即形状);像线(或链)这样的基本形状尤其重要,因为它们被用作构造更复杂形状的基础,是处理复杂任务的初始措施。与固定结构的机器人相比,变形机器人系统可以提供更高程度的可靠性和鲁棒性,因为它具有自我修复的能力:如果某些模块失效并且不再移动,则可以通过非故障模块重建形状。要正确、有效地做到这一点,并且不限制模块的自主性,这是一项非常重要的任务。在本文中,我们研究了线路恢复问题,要求非故障模块在恢复过程中的任何时候都能在不违反连通性要求的情况下重建线路。给出了该问题的全面可行性表征、可解性的必要条件,以及在不考虑故障数量和分布的情况下解决该问题的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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