S

SLAM

This project features an intelligent mobile robot system designed for automated logistics environments. Developed on ROS 2 Jazzy, the system implements robust SLAM and autonomous navigation capabilities. By integrating with a cloud server, it enables real-time remote monitoring and offloads high-load AI tasks (YOLO) for object detection. The core innovation lies in the system integration that allows the robot to autonomously recognize and interact with warehouse shelving units.

SLAM Graph-Optimization Suite

Hamming Binary Search Tree Header-only library examples

Hamming Binary Search Tree Header-only library

Generalized interfaces for SLAM pipelines

Docker setup for Docker image wiyogo/ros2_gazebo_slam

DBSCAN clustering based on the kd-tree search

Pioneer 3 AT Robot Simulation using Webots and ROS, and making SLAM using Cartographer ROS.

Graph SLAM from a programmer’s perspective

Simple front-end to generate a pose-matchable graph.

Fork of the SLAM++ solver (originally developed by Lukas Polok, Viorela Ila and Marek Solony)

Implementation of a real-time 6D SLAM framework in OpenCL 作者的个人主页：http://nlamprian.me/portfolio/