6 papers
CAC-VLA: Context-Gated Action Conditioning for Vision-Language-Action Models
Yifu Xiong, Wenhao Yu, Jiaxuan Lin +5
Vision-Language-Action (VLA) models have become a promising paradigm for generalist robot manipulation, where visual-language representations are used to condition continuous actio…
DAGS-SLAM: Dynamic-Aware 3DGS SLAM via Spatiotemporal Motion Probability and Uncertainty-Aware Scheduling
Li Zhang, Yu-An Liu, Xijia Jiang +3
Mobile robots and IoT devices demand real-time localization and dense reconstruction under tight compute and energy budgets. While 3D Gaussian Splatting (3DGS) enables efficient de…
GS-Share: Enabling High-fidelity Map Sharing with Incremental Gaussian Splatting
Xinran Zhang, Hanqi Zhu, Yifan Duan +1
Constructing and sharing 3D maps is essential for many applications, including autonomous driving and augmented reality. Recently, 3D Gaussian splatting has emerged as a promising…
STDArm: Transferring Visuomotor Policies From Static Data Training to Dynamic Robot Manipulation
Yifan Duan, Heng Li, Yilong Wu +5
Recent advances in mobile robotic platforms like quadruped robots and drones have spurred a demand for deploying visuomotor policies in increasingly dynamic environments. However,…
OccMamba: Semantic Occupancy Prediction with State Space Models
Heng Li, Yuenan Hou, Xiaohan Xing +3
Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, comp…
OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving
Yedong Shen, Xinran Zhang, Yifan Duan +5
Accurate and realistic 3D scene reconstruction enables the lifelike creation of autonomous driving simulation environments. With advancements in 3D Gaussian Splatting (3DGS), previ…