collaborators

8 papers

cs.RO2026

Make π0.5 Learn to Call Astra for Reliable Robot Manipulation

Jianli Sun, Chengxiang Li, Yonglin Tian

GPT-6 Astra provides robust embodied reasoning, but frequent external queries increase inference time and token costs. We equip a frozen policy with a lightweight CALL he…

cs.AI2026

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…

cs.RO2026

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…

cs.CV2026

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…

cs.AI2026

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…

cs.RO2026

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…

cs.CV2026

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…

astro-ph.IM2025

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…