collaborators

7 papers

cs.CV2026

FAST-GS: Frequency Aware Space-time Gaussian Splatting for Photorealistic Dynamic Novel View Synthesis

Zhengyang Zhang, Ziyu Lu, PengCheng Li +6

4D Gaussian Splatting (4DGS) excels in dynamic 3D reconstruction and real-time novel view synthesis via efficient 4D Gaussian representations and parallelizable rendering. However,…

cs.RO2026

RMGS-SLAM: Real-time Multi-sensor Gaussian Splatting SLAM

Dongen Li, Yi Liu, Junqi Liu +8

Achieving real-time Simultaneous Localization and Mapping (SLAM) based on 3D Gaussian splatting (3DGS) in large-scale real-world environments remains challenging, as existing metho…

cs.RO2026

OVAL: Open-Vocabulary Augmented Memory Model for Lifelong Object Goal Navigation

Jiahua Pei, Yi Liu, Guoping Pan +3

Object Goal Navigation (ObjectNav) refers to an agent navigating to an object in an unseen environment, which is an ability often required in the accomplishment of complex tasks. W…

cs.RO2026

GGD-SLAM: Monocular 3DGS SLAM Powered by Generalizable Motion Model for Dynamic Environments

Yi Liu, Haoxuan Xu, Hongbo Duan +5

Visual SLAM algorithms achieve significant improvements through the exploration of 3D Gaussian Splatting (3DGS) representations, particularly in generating high-fidelity dense maps…

cs.RO2026

HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models

Zixing Chen, Yifeng Gao, Li Wang +8

Vision-Language-Action (VLA) models inherit rich world knowledge from vision-language backbones and acquire executable skills via action demonstrations. However, existing evaluatio…

cs.CV2026

NavCrafter: Exploring 3D Scenes from a Single Image

Hongbo Duan, Peiyu Zhuang, Yi Liu +5

Creating flexible 3D scenes from a single image is vital when direct 3D data acquisition is costly or impractical. We introduce NavCrafter, a novel framework that explores 3D scene…