Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization
Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization
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形状改变机器人：生物灵感，模拟和物理实现
DOI：
10.1002/adma.202002882
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发表时间：
2020-09-21
影响因子：
29.4
通讯作者：
Kramer-Bottiglio, Rebecca
中科院分区：
文献类型：
--
作者：
Shah, Dylan;Yang, Bilige;Kramer-Bottiglio, Rebecca
生物系统和人工系统之间的关键区别之一是活组织的动态可塑性，通过重新配置物理结构和行为控制策略来适应不同的环境条件，任务或损伤。缺乏动态可塑性是必须在自然世界中稳健运行的人工系统的一个重要限制。最近，研究人员开始利用再生和变态生物的见解，设计能够编辑自身结构的机器人，以便在不断变化的需求下更有效地执行任务，并创建新的算法来控制这些不断变化的解剖结构。在这里，概述了与机器人改变形状以增强和扩展其功能相关的文献。还讨论了相关的重大挑战，包括形状感测、发现和改变，这些挑战依赖于多功能材料、分布式驱动和感测以及躯体控制的创新，以实现下一代形状改变机器人。
One of the key differentiators between biological and artificial systems is the dynamic plasticity of living tissues, enabling adaptation to different environmental conditions, tasks, or damage by reconfiguring physical structure and behavioral control policies. Lack of dynamic plasticity is a significant limitation for artificial systems that must robustly operate in the natural world. Recently, researchers have begun to leverage insights from regenerating and metamorphosing organisms, designing robots capable of editing their own structure to more efficiently perform tasks under changing demands and creating new algorithms to control these changing anatomies. Here, an overview of the literature related to robots that change shape to enhance and expand their functionality is presented. Related grand challenges, including shape sensing, finding, and changing, which rely on innovations in multifunctional materials, distributed actuation and sensing, and somatic control to enable next-generation shape changing robots are also discussed.