2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2024
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching
Kurran Singh, John J. Leonard
Underwater object-level mapping requires incorporating visual foundation models to handle the uncommon and often previously unseen object classes encountered in marine scenarios. I…
cs.RO2024
LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping
Kurran Singh, Tim Magoun, John J. Leonard
Enabling robots to understand the world in terms of objects is a critical building block towards higher level autonomy. The success of foundation models in vision has created the a…
cs.RO2022★ 2 cited
Robust Change Detection Based on Neural Descriptor Fields
Jiahui Fu, Yilun Du, Kurran Singh +2
The ability to reason about changes in the environment is crucial for robots operating over extended periods of time. Agents are expected to capture changes during operation so tha…