A bunch of state estimation algorithms
SLAM algorithm with ultrasound range input implemented on a Crazyflie drone
Feature-based EKF-SLAM on Turtlebot3 with landmark detection
An open reproduction of SA-LIVO: Efficient LiDAR-Inertial-Visual Odometry with Subspace-Aware Degeneracy Handling (arXiv:2606.25699), an independent reimplementation derived from the FAST-LIVO2 ROS2 framework.
This is a project to timely export the trajectory in a SLAM project to a .txt file in TUM format.
Accepted in IEEE IoT Journal 2025
SRSLAM: SCUT RobotLab Simultaneous Localization And Mapping
ROS-based multi-agent system for path planning and LiDAR SLAM mapping in dynamic environments.
This project is a hands-on implementation to explore and understand the concepts behind Simultaneous Localization and Mapping (SLAM). It uses a simulated laser sensor to detect obstacles and create a map of the environment in real-time. The system continuously updates the map based on sensor data and accounts for uncertainty in the measurements.
SLAM (Simultaneous Localization and Mapping) implementation
SLAM without dependencies.
Readable Visual SLAM in 6k lines of C++17. Mono/RGB-D/Stereo/DL-Depth, loop closing, ROS2 node. BSD-2-Clause.
Localizing a robot in a 2D grid world by implementing SLAM (Simultaneous Localization And Mapping)
A ROS2 Package of a Webots Simulation of 2-Wheel Differential Drive Robot Capable of SLAM and Autonomous Navigation
A repository of my practice and solutions to the Problem Sets from the Artificial Intelligence for Robotics course taught by Sebastian Thrun on Udacity.
Descriptor-free SLAM. It remembers the world, not the feature points.
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