This article surveys recent progress and discusses future opportunities for simultaneous
localization and map** (SLAM) in extreme underground environments. SLAM in …

Multi-agent exploration of a bounded 3D environment with the unknown initial poses of
agents is a challenging problem. It requires both quickly exploring the environments and …

This study introduces a novel framework, G3Reg, for fast and robust global registration of
LiDAR point clouds. In contrast to conventional complex keypoints and descriptors, we …

In the realm of robotics, the quest for achieving real-world autonomy, capable of executing
large-scale and long-term operations, has positioned place recognition (PR) as a …

Convenient and high-fidelity 3D model reconstruction is crucial for industries like
manufacturing, medicine and archaeology. Current scanning approaches struggle with high …

LiDAR-based localization approach is a fundamental module for large-scale navigation
tasks, such as last-mile delivery and autonomous driving, and localization robustness highly …