A multi-robot SLAM system for USVs and AUVs merges per-robot state estimates via inter-robot loop closures from perceptual data, yielding lower AUV localization errors than single-robot SLAM in real-world tests across three environments.
Mar- itime Scene Matching for Inter-Robot Localization Across Surface and Underwater Domains
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
Above and Below: Heterogeneous Multi-robot SLAM Across Surface and Underwater Domains
A multi-robot SLAM system for USVs and AUVs merges per-robot state estimates via inter-robot loop closures from perceptual data, yielding lower AUV localization errors than single-robot SLAM in real-world tests across three environments.