变形
机器人
网络拓扑
计算机科学
控制工程
控制理论(社会学)
可控性
扭矩
执行机构
可预测性
拓扑(电路)
工程类
分布式计算
集体行为
钥匙(锁)
软机器人
运动控制
复杂系统
简单(哲学)
模拟
相(物质)
稳健性(进化)
控制系统
分散系统
活性物质
夹持器
机器人运动学
杠杆(统计)
机械系统
人群
依赖关系(UML)
计算
瞬态(计算机编程)
作者
Danna Ma,Baxi Chong,Daniel I. Goldman,Kirstin Petersen
出处
期刊:Science robotics
[American Association for the Advancement of Science]
日期:2026-05-13
卷期号:11 (114): eaec6393-eaec6393
标识
DOI:10.1126/scirobotics.aec6393
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI