KISS-SLAM
- Software
- Navigation and mapping
- Library
KISS-SLAM is a 3D LiDAR simultaneous localization and mapping system, aiming to be simple, robust and accurate. It is installed as a Python package.
Made by Photogrammetry & Robotics Bonn, Germany (checked on github.com/PRBonn (opens in a new tab)).
Source on GitHub: github.com/PRBonn/kiss-slam (opens in a new tab). Facts read at commit 3d4d1fa (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 3d4d1fa (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Performs 3D LiDAR SLAM, building maps while estimating the sensor's trajectory.
- Installed with pip and run through the kiss_slam_pipeline command.
- Configuration is generated with kiss_slam_dump_config and passed via a YAML file.
- Includes indoor tuning suggestions, such as lowering max_range and splitting_distance.
- Builds on KISS-ICP, MapClosures and g2o, per its acknowledgements.
- A git tag IROS25 reproduces the results from the original paper.
Written by Robotheca from the project's README (opens in a new tab) at commit 3d4d1fa.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 5 Dec 2025 on main
- Latest release
- v0.0.2 (15 May 2025)
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.