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Lantao Zhang

5 accepted papers

2026

Efficient Plane Segmentation in Depth Image Based on Adaptive Patch-Wise Region Growing

ICRA 2026poster

Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications typically require real-time, precise, and robust plane segmentation processing, which presents a significant challe…

Cited by 0SourceScholar
2026

SSMG-Nav: Enhancing Lifelong Object Navigation with Semantic Skeleton Memory Graph

ICRA 2026poster

Navigating to out-of-sight targets from human instructions in unfamiliar environments is a core capability for service robots. Despite substantial progress, most approaches underutilize reusable, persistent memory, constraining performance in lifelong settings. Many are additionally limited to singl…

2025

A Skeleton-Based Topological Planner for Exploration in Complex Unknown Environments

ICRA 2025

The capability of autonomous exploration in complex, unknown environments is important in many robotic applications. While recent research on autonomous exploration have achieved much progress, there are still limitations, e.g., existing methods relying on greedy heuristics or optimal path planning

Cited by 5SourcecodeScholar
2025

Efficient Plane Segmentation in Depth Image Based on Adaptive Patch-Wise Region Growing

RA-L 2025

Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications typically require real-time, precise, and robust plane segmentation processing, which presents a significant challe

Cited by 2SourceScholar
2024

BEVGM: A Visual Place Recognition Method With Bird's Eye View Graph Matching

RA-L 2024

Visual place recognition (VPR) is an essential tool in robotics perception and navigation. Though much progress has been made recently, the performance of VPR is far from satisfactory in challenging scenarios, such as large appearance variations, reverse viewpoints, and heterogeneous data. This work

Cited by 1SourceScholar