mola_state_estimation
- Software
- Navigation and mapping
- Library
A set of ROS 2 packages providing state estimators for robots and vehicles within the MOLA framework, from a simple constant-velocity updater to a factor-graph smoother.
Made by The MOLA SLAM framework, Spain (checked on github.com/MOLAorg (opens in a new tab)).
Source on GitHub: github.com/MOLAorg/mola_state_estimation (opens in a new tab). Facts read at commit 08828de (opens in a new tab).
Licenses
- Code
- GPL-3.0-only (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (GPL-3.0-only) at commit 08828de (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Copyleft: Modified source must be published.
What it does
- Mola_state_estimation_simple incrementally updates a vehicle's kinematic state from sensor observations using a constant velocity model.
- Mola_state_estimation_smoother uses factor-graph smoothing to fuse wheel odometry, IMUs, GNSS and other sensors.
- Mola_georeferencing is a C++ library for georeferencing key-frame maps (simplemaps) and related command-line tools.
- Mola_gtsam_factors is a C++ library of reusable GTSAM factors for georeferencing and state-estimation modules.
Written by Robotheca from the project's README (opens in a new tab) at commit 08828de.
Getting started
- Difficulty
- Advanced
- Hardware it needs, as the project states it
- ROS 2 distributions Humble, Jazzy, Kilted, Lyrical and Rolling; amd64 and arm64 architectures are built for the binary packages.
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 15 Oct 2026 on develop
- Latest release
- mola_state_estimation 3.0.4 (9 Oct 2026)
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.