Bubble-raft inspired shape-assembly in flying robot swarm for uniform formation and obstacle traversal.

IF 7
Hanxun Li, Jinshu Su, Zhiqiang Li, Yining Zhao, Tingyu Chen, Biao Han
{"title":"Bubble-raft inspired shape-assembly in flying robot swarm for uniform formation and obstacle traversal.","authors":"Hanxun Li, Jinshu Su, Zhiqiang Li, Yining Zhao, Tingyu Chen, Biao Han","doi":"10.1038/s44172-026-00715-3","DOIUrl":null,"url":null,"abstract":"<p><p>Natural swarms can move cohesively while continuously reshaping their spatial shape, yet reproducing this behavior with large flying robot swarms in obstacle environments remains difficult, especially in achieving uniformity and safety. Here, we present a distributed 3D shape-assembly controller for flying robot swarms that forms arbitrary target shapes with uniform coverage and safe inter-robot distance. Inspired by bubble-rafts, each robot is associated with a non-overlapping region inside the target shape and updates its velocity by considering region exploration, region balancing and distance fine-tuning. The proposed region-based shape-assembly method is able to drive the swarm toward uniform formations and enable fast shape transformation, as well as resilience to robot joining and failure. For navigation, we design a lightweight velocity-obstacle mechanism that adjusts the nominal shape-assembly velocity to collision-free commands with minimal formation disruption. We validate the proposed methods in extensive simulations and real-world swarm experiments, demonstrating efficient formation of complex 3D shapes, robust maintenance of safety distances, and reliable obstacle traversal.</p>","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44172-026-00715-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Natural swarms can move cohesively while continuously reshaping their spatial shape, yet reproducing this behavior with large flying robot swarms in obstacle environments remains difficult, especially in achieving uniformity and safety. Here, we present a distributed 3D shape-assembly controller for flying robot swarms that forms arbitrary target shapes with uniform coverage and safe inter-robot distance. Inspired by bubble-rafts, each robot is associated with a non-overlapping region inside the target shape and updates its velocity by considering region exploration, region balancing and distance fine-tuning. The proposed region-based shape-assembly method is able to drive the swarm toward uniform formations and enable fast shape transformation, as well as resilience to robot joining and failure. For navigation, we design a lightweight velocity-obstacle mechanism that adjusts the nominal shape-assembly velocity to collision-free commands with minimal formation disruption. We validate the proposed methods in extensive simulations and real-world swarm experiments, demonstrating efficient formation of complex 3D shapes, robust maintenance of safety distances, and reliable obstacle traversal.

基于气泡筏的飞行机器人群形状组合方法。
自然群体可以在不断重塑其空间形状的同时保持凝聚力,但在障碍物环境中再现大型飞行机器人群体的这种行为仍然很困难,尤其是在实现均匀性和安全性方面。本文提出了一种用于飞行机器人群体的分布式三维形状装配控制器,该控制器可以形成任意形状的目标,且具有均匀的覆盖范围和安全的机器人间距离。受气泡筏的启发,每个机器人与目标形状内的非重叠区域相关联,并通过考虑区域探索,区域平衡和距离微调来更新其速度。提出的基于区域的形状装配方法能够驱动群体走向均匀的形状,实现快速的形状转换,以及对机器人连接和故障的弹性。在导航方面,我们设计了一种轻型速度障碍机制,可以将标称形状装配速度调整到无碰撞指令,同时将地层破坏降到最低。我们在广泛的模拟和现实世界的群体实验中验证了所提出的方法,证明了复杂3D形状的有效形成,安全距离的稳健维护以及可靠的障碍物穿越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书