AI Agent Skills

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

A LiDAR SLAM system that just works

SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021

[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Camer…

HKU-Dataset for Event-based VO/VIO/SLAM

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping

[IROS 2025] A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics

Any-Feature V-SLAM is an automated visual SLAM library for Monocular cameras capable of switching to a chosen type of feature effortlessly and without manual interventio…

[IROS 25] Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM

RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks…

Pointcloud-based graph SLAM written in C++ using open3D library.