8 papers
Autonomous discovery of traffic laws with AI traffic scientists
Xingyuan Dai, Yue Liu, Xiaoyan Gong +9
Universal traffic laws describe recurrent patterns in congestion, mobility and driving behavior across cities, providing a scientific basis for transportation planning, management…
AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots
Jianli Sun, Bin Tian, Qiyao Zhang +6
Aerial manipulation systems have long suffered from representation coupling in end-to-end control, as platform-level Unmanned Aerial Vehicle (UAV) movement and end-effector-level a…
UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models
Qiyao Zhang, Shuhua Zheng, Jianli Sun +6
Embodied visual tracking is crucial for Unmanned Aerial Vehicles (UAVs) executing complex real-world tasks. In dynamic urban scenarios with complex semantic requirements, Vision-La…
ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation
Zihe Wang, Yihuan Wang, Haiyang Yu. Zhiyong Cui +4
The current expressway operation relies on rule-based and isolated models, which limits the ability to jointly analyze knowledge across different systems. Meanwhile, Large Language…
OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction
Xianke Wu, Songlin Bai, Chengxiang Li +5
While Vehicle-to-Vehicle (V2V) collaboration extends sensing ranges through multi-agent data sharing, its reliability remains severely constrained by ground-level occlusions and th…
AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
Jianli Sun, Bin Tian, Qiyao Zhang +5
While Vision-Language-Action (VLA) models have achieved remarkable success in ground-based embodied intelligence, their application to Aerial Manipulation Systems (AMS) remains a l…