ZJU-FAST-Lab/Fast-Drone-250 resource
hardware and software design of the 250mm autonomous drone observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1800
- days_rel: n/a
- days_push: 1393
- n_releases_24m: 0
Adoption not part of the score
2492 stars · 411 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source course and reference design from ZJU FAST Lab for building a 250mm autonomous quadcopter drone, including hardware assembly guides, flight controller firmware, and onboard software setup. It bundles the Ego-Planner trajectory planner and VINS visual-inertial navigation stack so the drone can autonomously avoid obstacles in unknown environments.
Use cases
- build an autonomous obstacle-avoiding drone from scratch
- learn drone hardware assembly and flight controller setup
- deploy Ego-Planner on a real quadcopter
- calibrate VINS visual-inertial odometry on a drone
- follow a free tutorial course on autonomous aerial robots
- set up Ubuntu and onboard computer software for a drone
When to choose
- you want a complete end-to-end guide to building a small autonomous drone
- you need proven open-source planning and VIO software for a 250mm quadcopter
- you are a student or hobbyist learning aerial robotics hands-on
When to avoid
- you need a commercial-grade or production-ready drone platform
- you want a simulator-only project without hardware work
- you require a permissively licensed codebase, since commercial use is prohibited
Facets
learning-resource · maturity active
robotics machine-learning developer-tools documentation robotics autonomous-vehicles tutorials hardware embedded-systems cpp embedded cross-platform drone quadcopter uav px4 vins ego-planner obstacle-avoidance trajectory-planning hardware-design tutorial nuc slam linux
1 source
- readme: https://github.com/ZJU-FAST-Lab/Fast-Drone-250 · fetched 2026-08-28 · f695ac089a01
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ZJU-FAST-Lab/Fast-Drone-250 | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ZJU-FAST-Lab/Fast-Drone-250")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem