GCOPTER
- Software
- Drones and boats
- Library
A multicopter trajectory optimizer built on the MINCO sparse trajectory representation, supporting nonlinear drag effects and user-defined state-input constraints.
- Stale
Made by ZJU FAST Lab, China (checked on github.com/ZJU-FAST-Lab (opens in a new tab)).
Source on GitHub: github.com/ZJU-FAST-Lab/GCOPTER (opens in a new tab). Facts read at commit e0444f6 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit e0444f6 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Labels
- StaleNo commit in 12 months: the newest is from 6 Jun 2023.
What it does
- Optimizes multicopter trajectories under user-defined state-input constraints.
- Handles dynamics with nonlinear drag effects.
- Built on the MINCO sparse trajectory representation.
- Includes a global trajectory planning example that generates corridors and trajectories in real time.
- Physical parameters are modifiable in a config file.
- Provides fast iterative region inflation for corridor generation and non-uniform MINCO modules.
Written by Robotheca from the project's README (opens in a new tab) at commit e0444f6.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Stale: no commit in 12 months
- Newest commit
- 6 Jun 2023 on main
- Latest release
- None published on GitHub
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.