collaborators

11 papers

cs.RO2026

DiffWAM: A Fast and Efficient Navigation World Action Model

Mo Zhu, Yuze Wu, Xijie Huang +3

Pretrained video foundation models encode rich semantic and spatiotemporal priors for embodied navigation, yet converting these priors into UAV motion typically requires expensive…

cs.CV2026

When the Score Becomes the Target: Rethinking Metric Validity in Autonomous Driving

Morui Zhu, Deyuan Qu, Qi Chen +2

Driving benchmark scores are increasingly used not only for evaluation but also as optimization targets. This raises a fundamental question: do score gains remain reliable evidence…

cs.RO2026

LANTERN: A Closed-Loop Benchmark for VLM-Based Cooperative Driving with Temporally Grounded Warnings

Yongshuo Liu, Xu Gao, Morui Zhu +5

We present LANTERN, a closed-loop benchmark for temporally grounded cooperative warnings. LANTERN separates warning onset, hazard onset, warning termination, and post-hazard recove…

cs.RO2026

D-VLC: Decentralized Vision-Language Collaboration for Heterogeneous Embodied Multi-Robot Systems in Unknown Environments

Yuan Zhou, Ruitong Lin, Shen Wang +5

Multi-robot systems, particularly heterogeneous robot swarms, can improve the efficiency of complex task execution through parallel collaboration and complementary capabilities. Ho…

cs.RO2026

PathPainter: Transferring the Generalization Ability of Image Generation Models to Embodied Navigation

Yijin Wang, Yuru Tian, Xijie Huang +5

Bird's-eye-view (BEV) images have been demonstrated to provide valuable prior information for navigation. Given the global information provided by such views, two key challenges re…

cs.RO2026

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model

Jinhan Li, Xijie Huang, Weiqi Gai +10

In the field of Vision-Language Navigation (VLN), aerial datasets remain limited in their ability to combine scale, diversity, and realism, often relying on either costly real-worl…

cs.CV2026

F3DGS: Federated 3D Gaussian Splatting for Decentralized Multi-Agent World Modeling

Morui Zhu, Mohammad Dehghani Tezerjani, Mátyás Szántó +3

We present F3DGS, a federated 3D Gaussian Splatting framework for decentralized multi-agent 3D reconstruction. Existing 3DGS pipelines assume centralized access to all observations…

cs.CV2026

Mind the Hitch: Dynamic Calibration and Articulated Perception for Autonomous Trucks

Morui Zhu, Yongqi Zhu, Song Fu +1

Autonomous trucking poses unique challenges due to articulated tractor-trailer geometry, and time-varying sensor poses caused by the fifth-wheel joint and trailer flex. Existing pe…

cs.CV2026

Phase-Interface Instance Segmentation as a Visual Sensor for Laboratory Process Monitoring

Mingyue Li, Xin Yang, Shilin Yan +8

Reliable visual monitoring of chemical experiments remains challenging in transparent glassware, where weak phase boundaries and optical artifacts degrade conventional segmentation…

cs.CV2025

From Features to Reference Points: Lightweight and Adaptive Fusion for Cooperative Autonomous Driving

Yongqi Zhu, Morui Zhu, Qi Chen +4

We present RefPtsFusion, a lightweight and interpretable framework for cooperative autonomous driving. Instead of sharing large feature maps or query embeddings, vehicles exchange…

cs.RO2025

M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark

Morui Zhu, Yongqi Zhu, Yihao Zhu +4

We introduce MCAD, a comprehensive benchmark designed to advance research in generic cooperative autonomous driving. MCAD comprises 204 sequences with 30,000 frames. Each s…