AirDreamer: Generalist Drone Navigation with World Models
Navigating a drone in unseen and cluttered environments requires reliable generalization to unseen scene layouts and understanding of environmental structure relative to the robot's capabilities. Previous methods, which assume the same environment configuration, often rely heavily on human-designed perception pipelines and predefined rules to guide the robot toward the target. This process is environment-dependent and generalizes poorly across environments. Inspired by animal navigation behavior, we design a navigation framework that navigates with a reinforcement-learning-based policy on top of a world-model-based environment understanding to overcome these issues. In addition, a sparse ...
| Authors | Zian Liu, Andong Yang, Chunkai Yang et al. |
|---|---|
| Primary category | cs.RO |
| Published | 2 June 2026 |
| Last updated at source | 2 June 2026 |
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