Data checked 2026-08-13. Data may be stale - beyond the review cycle.
Review cycles are documented on the Methodology page. Methodology
XuPeng23/AeroVLA
AI Model Tier A perception_ai Apache-2.0
[Accepted to ECCV 2026] Official repository for AeroVLA (formerly known as AerialVLA): A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
Engineering Snapshot
Use cases & tasks 5
- Best suited for
-
- UAV navigation research
- Vision-language-action model development
- End-to-end autonomous flight experimentation
- Primary tasks
-
- Research on VLA for UAV control
- Vision-language guided navigation
Stack & ecosystem
- Resource type
- AI Model
- Ecosystem
- perception_ai
License & compliance
- License
-
Apache-2.0(Inferred)
Lifecycle & freshness Show
- Maintenance
- Active
- Latest version
- Not recorded
- Last activity
- 2026-08-11
- Last checked
- 2026-08-13
- Verification
- Official confirmed
What It Solves
End-to-end UAV navigation using vision-language-action (VLA) model with minimalist control architecture
Primary use cases
- Research on VLA for UAV control
- Vision-language guided navigation
Secondary use cases
- Transfer to other robotic control tasks
- Sim-to-real validation studies
When to Use
Consider when
- Need VLA baseline for UAV navigation
- Evaluating minimalist end-to-end architectures
- Research context (not production deployment)
Verify before adopting
- Model weights and training code availability
- Training dataset composition and licensing
- Benchmark results from ECCV 2026 paper
- Hardware requirements for inference
- Real-world flight test evidence
Start Here
Adoption Checklist
- Needs verification Model weights and training code availability
- Needs verification Training dataset composition and licensing
- Needs verification Benchmark results from ECCV 2026 paper
- Needs verification Hardware requirements for inference
- Needs verification Real-world flight test evidence
Each check stays "needs verification" until an official source confirms it; unconfirmed items are never marked verified.
Known Limitations & Unknowns
Known limitations
- No published benchmark metrics in supplied evidence
- No deployment/runtime evidence provided
- Edge hardware feasibility unconfirmed
Not publicly verified
- Model parameter count
- Training dataset details
- Inference latency
- Supported hardware platforms
- Real-world flight validation results
Alternatives & Related Tools
Alternatives
- voln-uav — Alternative to
Related tools
- airsim — Tested with
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://github.com/XuPeng23/AeroVLA
- Repository https://github.com/XuPeng23/AeroVLA
- Documentation https://github.com/XuPeng23/AeroVLA
Technical checklist
- OK License identified Recorded: Apache-2.0
- OK Maintenance signal Active
- OK Verification status Official confirmed
- OK Source evidence attached 1 source record(s)
- NEEDS REVIEW Latest version recorded Not recorded
Official Links
Metadata & Governance
| License | Apache-2.0 — Inferred |
|---|---|
| Commercial model | Unknown |
| Maintenance status | Active |
| Verification status | Official confirmed — Confirmed via the official repository API responses in SourceRefs below. |
| Latest version | Not recorded |
| Latest release | Not recorded |
| Last activity | 2026-08-11 |
| Last checked | 2026-08-13 |
| First seen | Not recorded |
Dataset facts
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
Recent Activity
New resource: XuPeng23/AeroVLA
New repository resource added by the sprint promote pipeline.
Related Knowledge
Collections
- Aerial Perception Models and Datasets — Source-backed aerial dataset and model repositories for detection and tracking research and prototyping.
- Visual Perception Models and Data — Indexed model and dataset repositories for aerial visual perception research and prototyping.