6 papers
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…
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…
CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation Systems
Yonglin Tian, Qiyao Zhang, Wei Xu +9
Accurate and early perception of potential intrusion targets is essential for ensuring the safety of railway transportation systems. However, most existing systems focus narrowly o…
AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and Refinement
Yutong Wang, Yunxiang Xiao, Yonglin Tian +3
Competitive access to modern observatories has intensified as proposal volumes outpace available telescope time, making timely, consistent, and transparent peer review a critical b…