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20242026
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cs.RO2026

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception

Weichen Zhang, Shiquan Yu, Yinan Zhu +9

We introduce ActiveFly-Bench, the first benchmark to bridge cyberspace reasoning and physical-world interaction for UAV embodied perception. The benchmark decomposes active percept…

cs.RO2026

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control

Jianjie Fang, Yongyan Xu, Ziyou Wang +13

World models are rapidly becoming a core infrastructure for embodied intelligence and interactive agents: they provide controllable simulators in which agents can perceive, act, fo…

cs.RO2026

WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation

Baining Zhao, Jiacheng Xu, Weicheng Feng +13

Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D environments. We argue that aerial V…

cs.RO2026

Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space

Weichen Zhang, Peizhi Tang, Xin Zeng +12

Unmanned aerial vehicles (UAVs) have emerged as powerful embodied agents. One of the core abilities is autonomous navigation in large-scale three-dimensional environments. Existing…

cs.RO2025

AirScape: An Aerial Generative World Model with Motion Controllability

Baining Zhao, Rongze Tang, Mingyuan Jia +9

How to enable agents to predict the outcomes of their own motion intentions in three-dimensional space has been a fundamental problem in embodied intelligence. To explore general s…

cs.RO2025

CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory

Weichen Zhang, Chen Gao, Shiquan Yu +6

Aerial vision-and-language navigation (VLN), requiring drones to interpret natural language instructions and navigate complex urban environments, emerges as a critical embodied AI…