Show simple item record

dc.contributor.authorAfzal, Sayed Saad
dc.contributor.authorRademacher, Jack
dc.contributor.authorChen, Weitung
dc.contributor.authorWang, Purui
dc.contributor.authorAdib, Fadel
dc.date.accessioned2025-12-05T20:48:50Z
dc.date.available2025-12-05T20:48:50Z
dc.date.issued2025-11-21
dc.identifier.isbn979-8-4007-1129-9
dc.identifier.urihttps://hdl.handle.net/1721.1/164216
dc.description.abstractLocalization is a critical task for underwater robots, yet today’s underwater localization systems are limited by their accuracy, scalability, and/or energy consumption (i.e., longevity). We present the design, implementation, and evaluation of EchoBLUE– an accurate, scalable, and low-power localization system for underwater robots. In EchoBLUE, an underwater robot transmits SONARstyle (FMCW) signals, and leverages ultra-low power underwater backscatter nodes as location anchors. EchoBLUE’s design introduces two key innovations. The first is a novel doppler compensation mechanism that enables it to accurately self-localize under mobility: the technique employs a cross-chirp mechanism that exploits the quad-band nature of the resulting backscatter response to overcome the rangedoppler ambiguity. Second, it introduces the first semi-active retrodirective underwater backscatter design and uses it for location anchors; this design achieves wide bandwidth to backscatter the full FMCW signal, enabling fine-grained localization. We implemented a proof of concept prototype of EchoBLUE by building a base station mounted on a BlueROV2 underwater robot and custom-designed low-power retrodirective location anchors deployed in a pool. Our evaluation across 700 real-world trials demonstrates that EchoBLUE achieves a median 3D localization accuracy of 28 cm and 90th percentile of 48 cm. Moreover, these anchors consume only 740 𝜇𝑊 for semi-active backscatter, paving the way for truly low-power and scalable underwater localization.en_US
dc.publisherACM|The 31st Annual International Conference on Mobile Computing and Networkingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3680207.3765265en_US
dc.rightsCreative Commons Attribution-Noncommercialen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleScalable and Low Power Localization for Underwater Robotsen_US
dc.typeArticleen_US
dc.identifier.citationSayed Saad Afzal, Jack Rademacher, Weitung Chen, Purui Wang, and Fadel Adib. 2025. Scalable and Low Power Localization for Underwater Robots. In Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (ACM MOBICOM '25). Association for Computing Machinery, New York, NY, USA, 1075–1090.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-12-01T08:47:20Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-12-01T08:47:22Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record