19 citations · 34 across the 7 of their papers we have counts for
8 papers
SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping
Haohua Que, Haojia Gao, Mingkai Liu +7
A robot swarm covers a building faster with more robots, but the map is only as complete as the space the robots have physically visited. We target the amount of an unknown buildin…
SPACE: Swarm Pheromone Fields for Adaptive Collision-Aware Exploration
Haohua Que, Haojia Gao, Mingkai Liu +3
Massive robot swarms can explore unknown environments quickly, but adding robots eventually stops helping. Doorways and dense traffic create congestion, increasing inter-robot cont…
ACEsplat: Accelerated 3D Gaussian Scene Regression via RGB and Poses Only
Mingkai Liu, Haohua Que, Dikai Fan +7
Per-scene 3D Gaussian Splatting (3DGS) enables high-fidelity rendering, but practical robotic and AR scene capture pipelines often depend on external geometric initialization (e.g.…
SenseExpo: Spatial Exploration and Navigation via Scene Estimation from Expeditious Predictive Operators
Haojia Gao, Haohua Que, Mingkai Liu +9
We present \textbf{SenseExpo}, a lightweight single-robot exploration framework that integrates a compact map prediction network into a frontier-based strategy. SenseExpo addresses…
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi +9
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
Dongjiang Li, Xuesong Shi, Qiwei Long +5
A robust and efficient Simultaneous Localization and Mapping (SLAM) system is essential for robot autonomy. For visual SLAM algorithms, though the theoretical framework has been we…
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She, Fan Feng, Xinyue Hao +9
The recent breakthroughs in computer vision have benefited from the availability of large representative datasets (e.g. ImageNet and COCO) for training. Yet, robotic vision poses u…
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Xuesong Shi, Dongjiang Li, Pengpeng Zhao +15
Service robots should be able to operate autonomously in dynamic and daily changing environments over an extended period of time. While Simultaneous Localization And Mapping (SLAM)…