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
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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