:zap: The Mobile Robot Programming Toolkit (MRPT)
- mrpt
- c-plus-plus
- mobile-robotics
- slam
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:zap: The Mobile Robot Programming Toolkit (MRPT)
Index repo for Kimera code
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A Versatile and Accurate Monocular SLAM
gradslam is an open source differentiable dense SLAM library for PyTorch
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
X Inertial-aided Visual Odometry
CubeSLAM: Monocular 3D Object Detection and SLAM
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
Real time semantic slam in ROS with a hand held RGB-D camera
Dense Visual Odometry and SLAM
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Official implementation of our serial spatial intelligence robotc foundation model (SLA & Spatial Forcing[ICLR2026]).
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
SLAM with apriltags
LaMa - A Localization and Mapping library
Use LiDAR to map the static world