OSQP
- Software
- Robot arms and industry
- Library
OSQP is a numerical solver for quadratic programs: minimizing a quadratic objective subject to linear constraints. It is built for solving such optimization problems.
Made by OSQP.
Source on GitHub: github.com/osqp/osqp (opens in a new tab). Facts read at commit 1572ae0 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit 1572ae0 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Solves problems of the form minimize 0.5 x'Px + q'x subject to l <= Ax <= u, with P positive semidefinite.
- Handles linear constraints where bounds may be infinite on either side.
- Accepts reports and questions through the GitHub issue tracker and GitHub Discussions.
Written by Robotheca from the project's README (opens in a new tab) at commit 1572ae0.
Getting started
- Difficulty
- Advanced
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 10 Nov 2025 on master
- Latest release
- v1.0.0 (21 Mar 2025)
Checked on GitHub on 16 Oct 2026.
Links
Robots on Robotheca that use 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.