{"title":"Into the Robotic Depths: Analysis and Insights from the DARPA Subterranean Challenge","authors":"Timothy H. Chung, Viktor L. Orekhov, Angela Maio","doi":"10.1146/annurev-control-062722-100728","DOIUrl":null,"url":null,"abstract":"The Defense Advanced Research Projects Agency (DARPA) Subterranean Challenge represented a multiyear (2018–2021), competition-based initiative to inspire and shape the future of field robotics, specifically in advancing integrated technologies for operating in complex underground environments. Bringing together robotics researchers and innovators from around the world to compete in physical and simulated contests, it spotlighted significant opportunities to incentivize and extract high-value technical results and insights to inform future advances. This article captures and quantifies these results, extracts relevant insights, and offers lessons learned and recommendations for further work. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 14 is May 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":29961,"journal":{"name":"Annual Review of Control Robotics and Autonomous Systems","volume":"13 1","pages":""},"PeriodicalIF":11.2000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Control Robotics and Autonomous Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1146/annurev-control-062722-100728","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 12
Abstract
The Defense Advanced Research Projects Agency (DARPA) Subterranean Challenge represented a multiyear (2018–2021), competition-based initiative to inspire and shape the future of field robotics, specifically in advancing integrated technologies for operating in complex underground environments. Bringing together robotics researchers and innovators from around the world to compete in physical and simulated contests, it spotlighted significant opportunities to incentivize and extract high-value technical results and insights to inform future advances. This article captures and quantifies these results, extracts relevant insights, and offers lessons learned and recommendations for further work. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 14 is May 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
期刊介绍：
The Annual Review of Control, Robotics, and Autonomous Systems offers comprehensive reviews on theoretical and applied developments influencing autonomous and semiautonomous systems engineering. Major areas covered include control, robotics, mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal extends its reach beyond engineering to intersect with fields like biology, neuroscience, and human behavioral sciences. The current volume has transitioned to open access through the Subscribe to Open program, with all articles published under a CC BY license.
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