* [Autonomous Mapping and Navigation Using SLAM Toolbox, Nav2, Gazebo, and Rviz Visualization](https://github.com/taherfattahi/ros2-slam-auto-navigation) * [GLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM](https://github.com/nubot-nudt/SGLC) * [Drift-free Visual SLAM using Digital Twins](https://github.com/uzh-rpg/rpg_svo_pro_with_digital_twins) * [pySLAM: a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. ](https://github.com/luigifreda/pyslam) * [pySLAM SLAM pipeline updates](https://github.com/luigifreda/pyslam) * [ICRA 2025 Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion](https://github.com/APRIL-ZJU/Gaussian-LIC) * [An unofficial open source implentation of CSIRO's Wildcat SLAM.](https://github.com/kekeliu-whu/Wildcat-SLAM) * [DynoSAM: Dynamic Object Smoothing and Mapping for Dynamic SLAM](https://github.com/ACFR-RPG/DynOSAM) * [Present and Future of SLAM in Extreme Environments](https://ieeexplore.ieee.org/document/10286080) * [MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors](https://github.com/rmurai0610/MASt3R-SLAM) * [Real-Time Dense SLAM with 3D Reconstruction Priors](https://edexheim.github.io/mast3r-slam/) * [ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding](https://github.com/YOUNG-bit/open_semantic_slam) * [MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors](https://edexheim.github.io/mast3r-slam/) * [CVPR 2025: MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM](https://github.com/VladimirYugay/MAGiC-SLAM) * [Under water SLAM](https://github.com/SenseRoboticsLab/AQUA-SLAM) * [New SLAM-Handbook](https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release) * [Dynamic Initialization for LiDAR-inertial SLAM](https://github.com/lian-yue0515/D-LI-Init) * [AQUA-SLAM](https://github.com/SenseRoboticsLab/AQUA-SLAM) * [Advanced SLAM & Perception Experiments on Quadruped Robots with ROS 2 Jazzy & Gazebo Harmonic](https://discourse.ros.org/t/advanced-slam-perception-experiments-on-quadruped-robots-with-ros-2-jazzy-gazebo-harmonic/43318) * [Roller-Coaster-SLAM-Dataset: The world's first roller coaster SLAM dataset](https://github.com/Factor-Robotics/Roller-Coaster-SLAM-Dataset) * [CVPR 2025 WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments](https://github.com/GradientSpaces/WildGS-SLAM) * [Release repo for a SLAM Handbook](https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release/) * [Release repo for our SLAM Handbook](https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release/) * [Platform for Deep Learning based SLAM](https://github.com/openxrlab/xrdslam) * [ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding](https://github.com/YOUNG-bit/open_semantic_slam) * [MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors](https://github.com/rmurai0610/MASt3R-SLAM) * [pySLAM is a Python-based Visual SLAM pipeline](https://github.com/luigifreda/pyslam) * [Unifying Visual SLAM: From Fragmented Datasets to Scalable, Real-World Solutions](https://visual-slam-lab.github.io/unifying-visual-slam/) * [Lightweight LiDAR-Inertial SLAM system for ROS 2.](https://github.com/NaokiAkai/plain_slam_ros2) * [SLAM evaluation tool](https://github.com/SJTU-ViSYS/SLAM_Evaluation) * [ABB Acquires Sevensense](https://www.therobotreport.com/sevensense-acquisition-adds-vslam-smarts-mobile-robots-says-abb/) * [A Comparison of Graph Optimization Approaches for Pose Estimation in SLAM](https://lamor.fer.hr/images/50036607/2021-ajuric-comparison-mipro.pdf) * [Visual SLAM Playground](https://github.com/MarkNaeem/VSLAM-playground) * [A SLAM implementation combining FAST-LIO2 with pose graph optimization](https://github.com/engcang/FAST-LIO-SAM-SC-QN) * [Khronos: Spatio-Temporal Metric-Semantic SLAM](https://github.com/MIT-SPARK/Khronos) * [Cool: Gaussian Splatting SLAM source code](https://github.com/muskie82/MonoGS) * [Volume-DROID SLAM Source Code](https://github.com/peterstratton/Volume-DROID) * [ROS 2 + ORB SLAM 3 Docker Container](https://github.com/suchetanrs/ORB-SLAM3-ROS2-Docker) * [2024-03-27 Gazebo Community Meeting: CMU LIDAR SLAM Expert](https://community.gazebosim.org/t/community-meeting-from-lidar-slam-to-full-scale-autonomy-and-beyond/2622) * [ORB-SLAM3 ROS 2 Docker Container](https://github.com/suchetanrs/ORB-SLAM3-ROS2-Docker) * [2024-03-27 Gazebo Community Meeting: CMU LIDAR SLAM Expert](https://community.gazebosim.org/t/community-meeting-from-lidar-slam-to-full-scale-autonomy-and-beyond/2622) * [RGBD GS-ICP SLAM](https://github.com/Lab-of-AI-and-Robotics/GS_ICP_SLAM) * [:Cool: Gazebo Community Meeting -- Ji Zhang LIDAR SLAM expert at CMU](https://vimeo.com/928421199?share=copy) * [MOLA -- Modular System for Localization and Mapping (Now in Iron!)](https://docs.mola-slam.org/latest/) -- [Source](https://github.com/MOLAorg/mola) * [RPI Mouse SLAM Navigation (Japanese)](https://rt-net.jp/mobility/archives/25091) * [:NEW: Global Traversability Mapping Library](https://discourse.ros.org/t/release-v1-0-0-a-full-fledged-light-weight-traversability-mapping-library-which-can-seamlessly-be-integrated-with-any-slam-system/37148) * [Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems](https://lajoiepy.github.io/cslam_documentation/html/index.html) * [Gaussian Splatting SLAM](https://rmurai.co.uk/projects/GaussianSplattingSLAM/) * [Active SLAM: A Review on Last Decade](https://www.mdpi.com/1424-8220/23/19/8097) * [ORB SLAM 3 + ROS 2 Docker Container](https://github.com/suchetanrs/ORB-SLAM3- * [IEEE RAS Special Section on Visual SLAM CFP](https://www.ieee-ras.org/publications/t-ro/special-issues/visual-slam) * [ROS 2 package for 3D LIDAR SLAM using NDT / GICP registration and pose-optimization](https://github.com/rsasaki0109/lidarslam_ros2) * [Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information.](https://github.com/bairuofei/Graph-Based_SLAM-Aware_Exploration) * [Voxel SLAM](https://arxiv.org/abs/2408.00343) * [OpenCV Introduction to LIDAR SLAM with ROS 2](https://learnopencv.com/lidar-slam-with-ros2/) * [AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System](https://github.com/sair-lab/AirSLAM) * [New 3D LiDAR odometry, mapping and localization packages](https://discourse.ros.org/t/slam-new-3d-lidar-odometry-mapping-and-localization-packages/39364) * [The MIKRIK Project Delivers an Accessible Platform for ROS and ROS 2 Robots, with Visual SLAM](https://www.hackster.io/news/the-mikrik-project-delivers-an-accessible-platform-for-ros-and-ros-2-robots-with-visual-slam-a585da40307a) * [MOLA Localization with Particle Filtering](https://docs.mola-slam.org/latest/localization.html#localization-with-particle-filtering) * [A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.](https://github.com/fetty31/fast_LIMO) * [DM-VIO: Delayed Marginalization Visual-Inertial Odometry](https://cvg.cit.tum.de/research/vslam/dm-vio?redirect=1)--[Source code](https://github.com/lukasvst/dm-vio) * [:cool: SLAM Handbook](https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release/tree/main) * [DROID-Splat: End-to-End SLAM with camera calibration, monocular prior integration and dense Rendering](https://github.com/ChenHoy/DROID-Splat) * [SuperVINS: A real-time visual-inertial SLAM framework for challenging imaging conditions](https://github.com/luohongk/SuperVINS) * [Real-time dense scene reconstruction with SLAM3R](https://github.com/PKU-VCL-3DV/SLAM3R) * [MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors](https://edexheim.github.io/mast3r-slam/) * [RAL24: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM](https://github.com/nubot-nudt/SGLC) * [Extending the Robustness of LiDAR SLAM to Geometrically Degenerate Scenarios](https://github.com/PengYu-Team/GEODE_dataset) * [MOLA-LO: Build a map and then localize — MOLA v1.5.0 documentation](https://docs.mola-slam.org/latest/tutorial-mola-lo-map-and-localize.html) * [Raspberry Pi x ROS SLAM robot development (Japanese)](https://www.zep.co.jp/hsunagawa/article/zmag_ros-da3/)