AUTONOMOUS ROBOT NAVIGATION USING ROS Clearpath Husky A200 robot with Gazebo and RViz simulations using different SLAM and Path Planning algorithms. 360 degrees laser scan with two SICK LMS511 LIDARs

A New ROS-based Robot Platform for Fast Building and Developing

a fusion of Hector SLAM 2d map construction and depth camera's pointcloud data

2. Mapping with Hector SLAM, GMapping and RTAB-Map

The first iteration of the Autonomous Software Stack (ASS) for the AMP go-kart.

Hexapod Robot Control

Autonomous Navigation Project using ROS

G-mapping and Hector-Slam python implementation

A Project on exploring autonomously and mapping an unknown environment using Turtlebot.

Summary - Comparative Study and Implementation of SLAM in ROS, Gazebo, CARLA and Prototype

YDPIbot is an open platform differential drive mobile robot that performs autonomous navigation and mapping tasks. YDPIbot is an affordable and easy-to-assemble robot that is designed to be an educational tool for students to learn about robotics and autonomous systems.

ISTANBUL TECHNICAL UNIVERSITY ROBOTICS LAB MECANUM WHEELED OMNIDIRECTIONAL VEHICLE

STM32F446RE+ROS1 racing robot: RPLIDAR C1 + IMU, Bluetooth comms, hector_slam mapping, PID motor control, and a custom move_base local planner optimized for high-speed go-and-return navigation via referee node.

My quickstart guide to Hector Slam Mapping with RPLidar on a mobile robot base. No need for an odometry source for this.

A mobile robot for autonomous exploration and obstacle avoidance in urban search and rescue environments using the Hector software stack.

Designed a mobile robot controlled using Raspberry Pi. Used hector mapping and AMCL to map the environment and localize the robot. Dijkstra Algorithm was used to autonomously navigate the robot.

ROS hector slam demos for 3d sensor, lidar and etc.

Localization using aruco markers on the map built by hector_slam with aruco markers inserter in it.

This is a repository with all the content of the bachelor's thesis called "Environmental Mapping and Obstacle Detection for Mobile Robots" from the electronics engineering program using ROS and SLAM techniques.

Tracked, mapping robot developed in the ROS environment