Topics / #slam

Slam projects on GitHub

Simultaneous localization and mapping for robots and spatial sensing.

As of , the most-starred Slam projects on GitHub are PythonRobotics (30.7K stars), oomwoo (12.1K stars) and ORB_SLAM2 (10.3K stars). GitHub.Locker tracks 5 Slam repositories with 54.8K stars combined. The fastest-growing on October 18 was oomwoo, with +67 stars in a day.

5Projects
54.8KStars in total
+90Stars in a day

Hot right now

Most stars gained in a day · Oct 18

The all-time top

5 projects · by stars

  1. #1 · AtsushiSakai/PythonRobotics

    PythonRobotics

    PythonRobotics is a Python code collection and textbook of classic robotics algorithms, covering localization, mapping, SLAM, path planning, path tracking, arm navigation, aerial navigation, and bipedal control.

    30.7K
  2. #2 · makerspet/oomwoo

    oomwoo

    OOMWOO is an open-source home vacuum robot you build yourself, using a Raspberry Pi, 3D-printed parts, Home Assistant, Arduino and ROS2, navigating with an affordable 2D LiDAR.

    12.1K
  3. #3 · raulmur/ORB_SLAM2

    ORB_SLAM2

    ORB-SLAM2 is a real-time SLAM library for monocular, stereo and RGB-D cameras: it tracks the camera trajectory and builds a sparse 3D reconstruction, with loop detection and relocalization.

    10.3K
  1. 4

    ABot-Recon

    1.4Kamap-cvlab/ABot-Recon · Python

    ABot-Recon is a streaming 3D reconstruction system: feed it a video stream and it recovers the camera trajectory plus a 3D point cloud, using only a fixed 12-frame local context instead of persistent long-range memory.

  2. 5

    wuji-ego-mint

    258wuji-technology/wuji-ego-mint · Python

    MINT is a unified deep learning model that takes ordinary egocentric RGB video and directly predicts world-space camera motion and two-hand (MANO) motion, replacing the usual calibration + depth + SLAM + hand-reconstruction pipeline with a single pass.

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