⚡ The Mobile Robot Programming Toolkit (MRPT)

Useful links of different content related to AI, Computer Vision, and Robotics.

ArUco-based EKF-SLAM.

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

List of commonly used robotics libraries and packages

[CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

ROS wrappers for SLAM algorithms in MRPT

Solutions to assignments for Robot Mapping / SLAM Course WS 2013/14, Uni of Freiburg. Please see to linked website and README for YouTube videos & further resources.

LiPC: LiDAR Point Cloud Clustering Benchmark Suite

NUS ME5413 Autonomous Mobile Robotics Final Project

[Prefer the newer MOLAorg/mola project] C++ framework for relative SLAM: Sparser Relative Bundle Adjustment (SRBA)

MOLA LiDAR odometry and localization

EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

Semantic Segmentation of Images and Point Clouds for Traversability Estimation

A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.

Codac (Catalog Of Domains And Contractors) is a C++/Python/Matlab library providing tools for interval computations and constraint programming over real numbers, trajectories and sets. It has numerous applications in parameter estimation, guaranteed integration, robot localization, and provides reliable outputs.

Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.

A Python package to segment cluttered 2D floor plans based on down-sampling.