Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Autonomous mobile robots (2WD, 4WD, Mecanum Drive)
| Date | Stars |
|---|---|
| 2026-07-30 | 968 |
| 2026-08-08 | 975 |
| 2026-08-16 | 982 |
| 2026-08-18 | 984 |
| 2026-08-19 | 985 |
| 2026-08-20 | 988 |
| 2026-08-21 | 990 |
| 2026-08-22 | 991 |
| 2026-08-23 | 993 |
| 2026-08-24 | 994 |
| 2026-08-25 | 995 |
| 2026-08-26 | 997 |
| 2026-08-27 | 998 |
| 2026-08-28 | 999 |
| 2026-08-30 | 999 |
| 2026-09-01 | 1003 |
| 2026-09-03 | 1005 |
| 2026-09-05 | 1007 |
| 2026-09-07 | 1009 |
| 2026-09-08 | 1011 |
| 2026-09-09 | 1012 |
| 2026-09-10 | 1013 |
| 2026-09-11 | 1014 |
| 2026-09-12 | 1015 |
| 2026-09-13 | 1014 |
| 2026-09-15 | 1016 |
| 2026-09-16 | 1019 |
| 2026-09-17 | 1019 |
| 2026-09-18 | 1020 |
| 2026-09-19 | 1023 |
| 2026-09-20 | 1024 |
| 2026-09-21 | 1025 |
| 2026-09-22 | 1026 |
| 2026-09-23 | 1027 |
| 2026-09-24 | 1027 |
| 2026-09-25 | 1029 |
| 2026-09-26 | 1030 |
| 2026-09-30 | 1031 |
| 2026-10-01 | 1030 |
| 2026-10-02 | 1031 |
| 2026-10-04 | 1032 |
| 2026-10-06 | 1033 |
| 2026-10-08 | 1034 |
| 2026-10-11 | 1036 |
| 2026-10-12 | 1038 |
| 2026-10-13 | 1041 |
| 2026-10-14 | 1043 |
| 2026-10-15 | 1045 |
| 2026-10-16 | 1050 |
| 2026-10-18 | 1052 |
| 2026-10-20 | 1055 |
| 2026-10-21 | 1056 |
| 2026-10-22 | 1060 |
| 2026-10-23 | 1062 |
| 2026-10-24 | 1063 |
| 2026-10-25 | 1063 |
| 2026-10-26 | 1066 |
| 2026-10-27 | 1067 |
| 2026-10-28 | 1068 |
| 2026-10-29 | 1070 |
| 2026-11-02 | 1071 |
| 2026-11-03 | 1073 |
| 2026-11-04 | 1075 |
Today
+2 stars today
This week
+7 stars this week
This month
+43 stars this month
Momentum
15.0
growth rate 0.66%/day
**Documentation: [https://linorobot.github.io/linorobot2](https://linorobot.github.io/linorobot2)** --- <!-- Build Status populated by Github Actions runs --> ROS 2 Distro | Branch | Build status :----------: | :----: | :----------: **Jazzy** | [`jazzy`](../../tree/jazzy) | [](../../actions/workflows/build.yml?branch=jazzy) **Lyrical** | [`lyrical`](../../tree/lyrical) | [](../../actions/workflows/build.yml?branch=lyrical) # linorobot2  linorobot2 is a ROS2 package that takes your robot from bare hardware to fully autonomous navigation. Whether you're building a physical robot from accessible parts, simulating in Gazebo, learning Nav2, or prototyping new hardware, linorobot2 gives you a complete, working foundation with Nav2, SLAM Toolbox, and robot_localization already wired together. Supported base configurations: **2WD**, **4WD**, and **Mecanum drive**. ## What Can You Do With It? - **Build a real autonomous robot.** Follow the [hardware guide](https://github.com/linorobot/linorobot2_hardware) to assemble your robot from off-the-shelf parts, flash the micro-ROS firmware, and run SLAM and Nav2 with a single command. - **Simulate in Gazebo.** A pre-configured robot URDF with lidar, depth camera, and IMU is ready to spawn. The same launch files and Nav2 configuration work for both physical and simulated robots, with no separate config to maintain. - **Simulate your real environment.** Convert a floor plan image or a SLAM-generated map directly into a Gazebo world. Test your ROS2 application in the exact same layout as your physical space, with the same obstacles your lidar sees, with no need to run the robot. - **Learn Nav2.** The documentation walks through the [Nav2 setup guides](https://docs.nav2.org/setup_guides/index.html) journey step by step: base controller, odometry, sensors, transforms, SLAM, and navigation. Each concept is explained before it is configured. - **Prototype new hardware.** Use the templated URDF as a starting point for your own robot design. Swap in your CAD meshes, adjust the sensor poses, and validate the kinematics in Gazebo before cutting any parts. - **Build ROS2 applications.** The simulation stack provides a consistent, reproducible environment for developing and testing autonomy code including path planners, state machines, and perception pipelines, without needing physical hardware on hand. ## Features ### Nav2, SLAM Toolbox, and robot_localization (pre-integrated) linorobot2 ships with working configurations for the full ROS2 autonomous navigation stack. Nav2, SLAM Toolbox, and the robot_localization EKF are configured and ready to go. The same YAML files are used by both the physical robot and the Gazebo simulation, so tuning in simulation transfers directly to hardware.  ### Pre-configured robot with sensors The robot URDF is templated with a 2D lidar, an RGBD depth camera, and an IMU already included and positioned. Changing the robot's dimensions or sensor mounting positions is a matter of editing one properties file. The URDF is also a solid starting point for building a more detailed model: add your CAD meshes and the rest of the stack continues to work. ### Simulate your real environment Two tools in `linorobot2_gazebo` let you bring your physical environment into Gazebo: - **`image_to_gazebo`**: a GUI tool that takes any floor plan image (PNG, JPG, BMP, etc.), lets you calibrate its real-world scale and set the coordinate origin interactively, then generates a complete Gazebo world: 3D wall mesh, model SDF, and world SDF. - **`create_worlds_from_maps`**: a batch CLI tool that converts all SLAM maps in `linorobot2_navigation/maps/` into Gazebo worlds in one command. Both tools produce a Gazebo world that matches the geometry you
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Juan Miguel Jimeno · Singapore
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:740ca6df76a59668, topic:robotics, topic:ros, topic:ros2