Sign inGet started
Paper · arXiv

BatSLAM 2.0: Sequence-Verified Sonar Place Recognition in a Robust Pose Graph

Echolocating bats can navigate dark and cluttered spaces using echolocation. Over a decade ago, BatSLAM showed that a robot with a biomimetic binaural sonar can build a topological map of the environment, by recognizing places from the received acoustic signals. Sonar place recognition, however, is ambiguous by nature: corridors produce nearly identical echo trains, and wrong loop closure can collapse the topological map. In this paper, we introduce BatSLAM 2.0, a novel sonar-only SLAM system built from three elements: an updated acoustic front-end, a sequence verifier that tracks and verifies loop closure candidates and a pose graph implemented on a high performance factor graph framewor...

AuthorsJan Steckel
Primary categorycs.RO
Published30 September 2026
Last updated at source30 September 2026
cs.ROcs.AIcs.LGeess.SY
Embed this entry
<iframe src="https://silytics.si/embed/item/be6c8e13-00bb-404b-b1fe-977ed336f25f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.