activity
20202026
most citedCoco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline

36 citations · 52 across the 22 of their papers we have counts for

collaborators

24 papers

cs.AI2026

AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation

Minrui Liu, Jingke Wang, Yuehao Huang +4

Deploying vision-and-language navigation (VLN) agents in unseen environments remains challenging because unfamiliar layouts and visual conditions can cause execution to go off trac…

cs.RO2026

RiverVLN: Phase-Grounded Temporal Vision--Language Navigation for Unmanned Surface Vehicles

Jieling Wu, Yuehao Huang, Jiajun Lv +3

Vision-language navigation (VLN) has largely been developed for indoor and terrestrial robots, where language can often be treated as a static goal and motion is approximated by di…

cs.AI2026

WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN

Yuehao Huang, Yunzi Wu, Xiaotao Zhang +7

Recent vision-language navigation (VLN) systems increasingly adapt pretrained vision-language models (VLMs) into vision-language-action (VLA) policies that map egocentric observati…

cs.RO2026

TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging

Shengzhuo Yang, Ronghao Yu, Chuanjie Lv +5

Vision-language-action (VLA) models aim to understand natural-language instructions and visual observations, and to generate and execute corresponding actions as embodied agents. R…

cs.RO2026

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation

Hao Su, Yuehao Huang, Yukai Ma +2

Object-Goal Navigation (ObjNav) requires embodied agents to autonomously locate specified targets using only egocentric visual observations. Existing monolithic methods struggle wi…

cs.RO2026

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis

Xiaolei Lang, Yang Wang, Yukun Zhou +10

Recent advances in robot foundation models trained on large-scale human teleoperation data have enabled robots to perform increasingly complex real-world tasks. However, scaling th…