Cross-link collective: Entangled robotic matter with cohesive motion

IF 25.5 1区 计算机科学 Q1 ROBOTICS
Danna Ma, Baxi Chong, Daniel I. Goldman, Kirstin H. Petersen
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引用次数: 0

Abstract

Robotic applications increasingly demand systems that are resilient, adaptable, and scalable. One promising route is through collectives of simple modules, where complex group-level behavior emerges from local interactions. By omitting fixed topologies and tight coordination, this approach sacrifices predictability and conventional tools for behaviors inherently optimized through stochastic mechanical interactions. A key challenge is maintaining cohesion and functionality without fixed connections and explicit coordination. We introduce the cross-link collective, a physically entangled robotic system inspired by cross-linking in active gels. Through shape morphing and transient entanglement, individually immobile modules produce sustained collective motion. The mechanically intelligent robot matter favors chains and phase relationships that reduce joint torques and reconfigures in response to perturbations. We show that distributed control can be added to this substrate to further enhance cohesion. Leveraging weak, reversible connections, the cross-link collective is adaptable, scalable, and fault tolerant, offering insights to applications from soft matter and robotics.
交联集体:具有内聚运动的纠缠机器人物质。
机器人应用越来越多地要求系统具有弹性、适应性和可扩展性。一个有希望的途径是通过简单模块的集合,其中复杂的群体级行为从本地交互中产生。通过忽略固定的拓扑结构和紧密的协调,这种方法牺牲了可预测性和传统工具,通过随机机械相互作用来优化固有的行为。一个关键的挑战是在没有固定连接和显式协调的情况下保持内聚和功能。我们介绍了交联集合体,这是一种受活性凝胶交联启发的物理纠缠机器人系统。通过形状变形和瞬态纠缠,单个不移动模块产生持续的集体运动。机械智能机器人的物质倾向于链和相关系,减少关节扭矩和重新配置响应摄动。我们证明分布式控制可以添加到这个基底上,以进一步增强内聚性。利用弱的、可逆的连接,交叉链接集合具有适应性、可扩展性和容错性,为软物质和机器人技术的应用提供了见解。
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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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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