GenZ-ICP
- Software
- Navigation and mapping
- Library
A LiDAR odometry system that estimates a sensor's motion from point clouds, built to stay robust in degenerate environments through adaptive weighting.
Made by POSTECH CoCEL, South Korea (checked on github.com/cocel-postech (opens in a new tab)).
Source on GitHub: github.com/cocel-postech/genz-icp (opens in a new tab). Facts read at commit 674ccce (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 674ccce (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Estimates LiDAR odometry with an adaptive weighting scheme aimed at degeneracy robustness.
- Installable as a Python package and run from the command line with a pipeline tool.
- Provides C++ code, a Python package, and ROS 1 and ROS 2 launch files for odometry.
- Can be run with a pre-tuned configuration file or with only a topic name given.
- Includes a parameter tuning guide and demo dataset examples for the ROS setups.
- Acknowledges that it builds on the KISS-ICP LiDAR odometry codebase.
Written by Robotheca from the project's README (opens in a new tab) at commit 674ccce.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 13 Oct 2026 on master
- Latest release
- v0.3.2 (5 May 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.