{"title":"A Multimodal Dual-Segment Soft Robot With Ground-to-Ceiling Transition","authors":"Ruiyong Yuan;Kai Huang;Chengxiao Ying;Yanmiao Hu;Zihao Yuan;Feifei Chen","doi":"10.1109/LRA.2025.3605092","DOIUrl":null,"url":null,"abstract":"Although various soft robots with remarkable mobility have been developed, enabling a single robot to achieve multi-terrain locomotion with transitions across ground, vertical walls, and ceilings remains a formidable challenge. This letter presents a multimodal dual-segment soft robot capable of omnidirectional terrestrial locomotion, vertical climbing and ceiling crawling, and smooth inter-surface transitioning. The robot's wall and ceiling locomotion ability is realized through improved segment design featuring lightweight construction, enhanced deformability and load capacity, whereas its transitional capability is facilitated by coordinated dual-segmental gaits and compensation of gravity-induced deformation. Through cross-sectional improvement, the redesigned segment demonstrates enhanced bending capability with a maximum bending angle exceeding 180<inline-formula><tex-math>$^{\\circ }$</tex-math></inline-formula>, achieving a 105% workspace expansion compared to the baseline design. Experimental characterization reveals performance metrics of the robot: a maximum terrestrial velocity of 33.2 mm/s, angular turning rate of 30<inline-formula><tex-math>$^{\\circ }$</tex-math></inline-formula>/s, and transition capability while carrying 50 g payload. Furthermore, we demonstrate the robot's practical utility by integrating an onboard camera to successfully execute multi-surface inspection tasks in confined space and aircraft wing cavity, validating its potential for deployment in real-world unstructured environments.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 10","pages":"10729-10736"},"PeriodicalIF":5.3000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11146561/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Although various soft robots with remarkable mobility have been developed, enabling a single robot to achieve multi-terrain locomotion with transitions across ground, vertical walls, and ceilings remains a formidable challenge. This letter presents a multimodal dual-segment soft robot capable of omnidirectional terrestrial locomotion, vertical climbing and ceiling crawling, and smooth inter-surface transitioning. The robot's wall and ceiling locomotion ability is realized through improved segment design featuring lightweight construction, enhanced deformability and load capacity, whereas its transitional capability is facilitated by coordinated dual-segmental gaits and compensation of gravity-induced deformation. Through cross-sectional improvement, the redesigned segment demonstrates enhanced bending capability with a maximum bending angle exceeding 180$^{\circ }$, achieving a 105% workspace expansion compared to the baseline design. Experimental characterization reveals performance metrics of the robot: a maximum terrestrial velocity of 33.2 mm/s, angular turning rate of 30$^{\circ }$/s, and transition capability while carrying 50 g payload. Furthermore, we demonstrate the robot's practical utility by integrating an onboard camera to successfully execute multi-surface inspection tasks in confined space and aircraft wing cavity, validating its potential for deployment in real-world unstructured environments.
期刊介绍:
The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.