# yrlu/quadrotor

Quadrotor control, path planning and trajectory optimization

Repository: https://github.com/yrlu/quadrotor
Canonical: https://ross.abutalabs.com/products/quadrotor
Language: MATLAB
License Family: other
Topics: quadrotor, pd-controller, controller, planning, path-planning, dijstra, astar, trajectory-optimization, trajectory-planning, drone, unmanned-aerial-vehicle, uav
Last push: 2024-05-05T00:36:38+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3405, "days_push": 851, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1126, forks 302 (observed 2026-08-28T04:03:41.297884+00:00)

## What it is
A MATLAB codebase implementing quadrotor PD controllers, path planning algorithms (Dijkstra, A*), and trajectory optimization (minimum snap/acceleration). Developed as coursework for UPenn's MEAM 620 Advanced Robotics course.

## Use cases
- simulate quadrotor flight control in matlab
- implement pd controller for drone
- plan paths with dijkstra or a star
- generate minimum snap trajectory for quadrotor
- learn robotics trajectory optimization
- reference implementation for uav control course assignments

## When to choose
- you need educational MATLAB reference code for quadrotor control and planning
- you want to study minimum snap trajectory generation
- you are working through a robotics course on UAV control

## When to avoid
- you need production-ready flight software for a real drone
- you need code in Python or C++ rather than MATLAB
- you need an actively maintained project with a license

## Facets
- artifact type: library
- maturity: maintenance
- function: simulation, robotics, machine-learning
- domain: robotics, simulation, education
- platform: cross-platform
- tags: quadrotor, uav, drone, pd-controller, path-planning, dijkstra, astar, trajectory-optimization, minimum-snap, matlab, algorithms

## Member repositories
- yrlu/quadrotor (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.297884+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:39:14.324942+00:00, confidence not recorded.
  - readme: https://github.com/yrlu/quadrotor (fetched 2026-08-28T04:03:41.297884+00:00, sha 73765a496482)
- Data as of 2026-08-30T08:39:29.467469+00:00.