FIGAROH-PLUS
- Software
- Robot arms and industry
- Tool
A Python toolbox for geometric calibration and dynamic parameter identification of rigid multi-body robots and humans described by a URDF, from experiment design to model export.
Source on GitHub: github.com/thanhndv212/figaroh-plus (opens in a new tab). Facts read at commit dd51a81 (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 dd51a81 (opens in a new tab), on 22 Oct 2026.
- Commercial use
- Yes
What it does
- Geometric calibration estimates joint offsets and frame transforms from end-effector measurements such as motion capture, cameras, laser trackers, or plane contact.
- Dynamic identification fits masses, inertias, friction and actuator inertia from joint positions and measured effort, in up to three stages.
- Optimal experiment design selects well-conditioned calibration postures and generates exciting identification trajectories optimised with IPOPT.
- Each run can produce a self-contained HTML report and a machine-readable verification verdict, and compare two archived runs.
- Calibration and identification results can be written back into a copy of the URDF, with physical-consistency checks on inertias.
- Pinocchio is the default dynamics backend, with MuJoCo available as an optional backend.
Written by Robotheca from the project's README (opens in a new tab) at commit dd51a81.
Getting started
- Difficulty
- Advanced
- Hardware it needs, as the project states it
- Python 3.10 to 3.14 with Pinocchio 3.7 or 4.1 and ndcurves; tested on Linux (CI) and macOS, Windows not tested. The optimal trajectory generation additionally needs cyipopt, installed via the conda environment. No GPU or memory requirements are stated.
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 13 Oct 2026 on main
- Latest release
- FIGAROH 1.0.2 (13 Oct 2026)
Checked on GitHub on 22 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.