Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
946 results
No description
🔥ROS(c++)机器人操作系统 学习（写于2020年夏）
LIO_SAM for 6-axis IMU and GNSS.
CubeSLAM: Monocular 3D Object Detection and SLAM
X Inertial-aided Visual Odometry
CT-ICP: Continuous-Time LiDAR Odometry
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
Real-time large scale dense visual SLAM system
Interactive Map Correction for 3D Graph SLAM
No description
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
[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.
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
loam code noted in Chinese（loam中文注解版）
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。
A curated list of SLAM resources
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
[TRO 2025] AirVO upgrades to AirSLAM
M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)
24,523 repositories in the index in total.
