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Peize Liu

4 accepted papers

2026

SG-Reg: Generalizable and Efficient Scene Graph Registration

ICRA 2026poster

This paper addresses the challenge of registering two rigid semantic scene graphs, an essential capability for autonomous agents to align with remote agents or prior maps. Traditional methods rely on hand-crafted descriptors or ground-truth annotations, limiting their applicability in real-world sce…

2024

OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception

IROS 2024poster

Adopting omnidirectional Field of View (FoV) cameras in aerial robots vastly improves perception ability, significantly advancing aerial robotics’s capabilities in inspection, reconstruction, and rescue tasks. However, such sensors also elevate system complexity, e.g., hardware design, and correspon…

Cited by 9SourcecodeScholar
2023

H$_{2}$-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation

RA-L 2023

Constructing a high-quality dense map in real-time is essential for robotics, AR/VR, and digital twins applications. As Neural Radiance Field (NeRF) greatly improves the mapping performance, in this letter, we propose a NeRF-based mapping method that enables higher-quality reconstruction and real-ti

Cited by 52SourcecodeScholar