#34 · Primary category： Robotics & Embodied AI Simulation
mola
A Modular Optimization framework for Localization and mApping (MOLA)
Project last updated：08/29/26
GitHub Stars
1.0K
Forks
146
Contributors
4
License
GPL-3.0
Why we included this project
MOLA is for teams whose robots have to keep track of where they are from LiDAR data, and it treats localization and mapping as interchangeable building blocks rather than one fixed pipeline. You can assemble LiDAR odometry, LiDAR-inertial odometry, full SLAM, localization-only mode, or geo-referencing, and the modular C++17 code plugs into an existing ROS 2 stack on Humble, Jazzy, or newer distros without forcing you to adopt the whole architecture. A documented tutorial walks you through building a first map, which helps when you're weighing it for a research platform or a production autonomous vehicle. The open-core setup keeps the core free for research, with commercial licensing available if you ship a product built on it.
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