ROS / 机器人框架

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/网页爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

RTAB-Map library and standalone application

Open source software for autonomous drones.

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

An open source platform for visual-inertial navigation research.

:sunglasses: A curated list of robotics libraries and software

Learn the basics of robotics through hands-on experience using ROS 2 and Gazebo simulation.

A LiDAR odometry pipeline that just works

ROS packages for Turtlebot3

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

GLIM: versatile and extensible point cloud-based 3D localization and mapping framework

A small C++11 header-only library for Lie theory.

Roadmap to become a Visual-SLAM developer in 2026

A library for differentiable robotics on manifolds.

Robotics Toolbox for MATLAB

InternRobotics' open platform for building generalized navigation foundation models.

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples

An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.

[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

ROS2 TensorRT Node for Monocular Metric Depth estimation and Point Cloud generation from camera images with Depth Anything V3

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

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

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

A Comprehensive Framework for Visual SLAM Systems and Datasets

Webots ROS 2 packages

A LiDAR SLAM system that just works

Simulations for TurtleBot3

😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manipulation)

ROS wrapper for the ZED SDK

VLA-0: Building State-of-the-Art VLAs with Zero Modification

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

[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 Cameras"

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

ROS & ROS2 Implementation of Patchwork++

DynaVINS : A Visual-Inertial SLAM for Dynamic Environments

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam

Modular open-source brain for legged robots. Web UI for teleops, autonomous navigation, mapping & monitoring. 3D-printable hardware that runs on ROS2.

ROS 2 localization for outdoor robots: IMU, wheel encoders and GPS fused in a 23-state UKF at 100 Hz. When the estimate goes wrong it reports which sensor and why, instead of drifting silently. Apache 2.0.

Zero-Drift Point Cloud Mapping using Map Priors

Pronto - Legged Robot State Estimator - libraries, ROS wrapper and messages

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

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

[NeurIPS 2025] Official implementation of "RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics"