Tassel: 一个优化框架下的vio(仍在完善，目标是成为长期VSLAM)

xlens

[RSS 2026] 🦫 BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps

Cross-agent session translator (Claude Code <-> Codex CLI)

谷歌新书Agent设计模式(agentic design patterns)最佳中文版，持续优化。附：在线阅读、pdf和epub电子书下载。

Whole Body Controller & Finite State Machine

OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS

这是一个基于 Web 的机器人中控台，用于实时监控和控制 ROS 2 机器人。该项目集成了地图展示、摇杆控制、状态监测以及建图管理等功能。

激光雷达-相机联合标定结果快速可视化校验工具 ROS2

一个基于ROS2的现代化的自主移动机器人（AMR）Web 控制与可视化平台

Efficient and parallel algorithms for point cloud registration [C++, Python]

【RA-L 2026】 A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy.

An odyssey through inertial navigation on Lie groups. LieOdyssey is a lightweight, research-friendly toolkit for IMU preintegration and state estimation in Inertial Navigation Systems (INS).

Data Analysis for Robotics Projects with ROS

RTAB-Map library and standalone application

RTAB-Map's ROS package.

A ROS 2 tool for exporting bags to human readable files. Supports pluggable export routines to handle any message type.

通过对优化器底层进行修改，使其优化的轨迹坐标维度为2维（x和y），并对grid map进行重写，使其适配真正适配地面2D移动机器人。

将EgoPlanner后端（纯净版）基于B样条的轨迹优化封装单独可用的C++文件，并将三维轨迹将为2维轨迹，适用于地面移动机器人实时局部路径规划

📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

[RA-L 2025] A stereo visual-inertial odometry system based on voxel map

A Comprehensive Framework for Visual SLAM Systems and Datasets

ROS2 / FAST_LIO / PGO / Online Re-Localization / Consistent Map with BA or HBA

A collection of GICP-based fast point cloud registration algorithms

LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation

[ICRA 2025] AF-RLIO: Adaptive Fusion of Radar-LiDAR-Inertial Information forRobust Odometry in Challenging Environments

FAST-LIVO2中文说明版，方便大家研究

[JIOT 2024] Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry

[TUD AE4270] SuperPoint & SuperGlue on OpenVINS