There are 0 repository under slam-gmapping topic.
ROS package for implementing slam_gmapping and ROS navigation stack on a custom 2 Wheeled Differential Drive robot.
ROS-based autonomous navigation implementation on a mobile robot platform
Executing SLAM gmapping in Unity ROS setup
Final year project for University of Bedfordshire - Exploration robot "Pathfinder"
It's the senior design project I did in University of Detroit Mercy from 2017 to 2018, based on Pioneer3-DX robot platform with Kinect2, Hokuyo. This project conclude some open-spurce algorithm I found in github contains SLAM-gmapping, pocketsphinx and so on. Thanks for the providers! The robot contain basic mapping and navigation functions, with addtional model in simulation software, voice control and voie feedback, set tarket with coordinate and so on. Finally, thanks for my teamates, Hao Lan, Yuchen Luo, Diwen Miao and Wuxin Shen. I roughly upload the whole workspace and I think you will be clear with how it work if you are already familar with ROS. And if not, maybe it is a good idea for you to check the catkin_ws/src/hunter/lacunh first. And I will add more description in README. I know it is not so clear, if youn need help ,feel free to contact with me, my email is donaldmyshen@outlook.com!
ROS Navigation in 5 days project from TCS. Implementation of Navigation Stack for Summit XL robot.
Exploring the unknown environment using Turtlebot3 and ROS.
SLAM RTAB-Map (Real-Time Appearance-Based Mapping)
Unmanned Ground Vehicle with SLAM and Autonomous Navigation using ROS Framework in Indoor Environment
Third and last assignment of RT1 class regarding the devopment of a simulator of a mobile robot in a room.
In this project, a simulation of a disaster environment was implemented using a TurtleBot3 hardware. The robot was used to survey the area by mapping its trajectory also the area and identify potential dangers and victims
This repo consists of the code and ROS files developed to autonomously navigate in an unknown terrain WITHOUT a pre-saved map using the TurtleBot3 sources using SLAM technique
This is the repository for the third and final assignment for the Research Track course: different driving modality for a mobile robot.
Third assignment of Research Track I regarding the implementation of a robot capable of moving, autonomousely or with manual commands, inside a room while avoiding obstacled
The Home Service Workspace project is a robotics project developed using ROS (Robot Operating System). It aims to simulate a home service scenario where a robot performs pick-up and drop-off tasks autonomously in a simulated environment.
The objective is to navigate to a pick-up location to retrieve a virtual object, and then proceed to a designated drop-off zone to place it.
The project goal is to simulate a full home service robot capable of navigating to pick up and deliver virtual objects.
Final project of the Udacity's Robotics Software Engineer Nanodegree.
Autonomous Weed Removal Robot Based on ROS and Deep Learning Model 基於ROS及深度學習模型之自動除草機器人
ROS workspace for 4 wheel omni drive. Implementation of slam-gmapping, AMCL, autonomous navigation + obstacle avoidance in simulation.
[Path Planning and Navigation] ROS home service robot
A Mars Rover-like wheeled robot that uses LiDAR technology, and a Simultaneous Localization and Mapping algorithm running on a Robotics Operating System to map and navigate an environment.
Indoor Environment Mapping Robot - Robotics + VR
Kitti is a differential drive robot, operating seamlessly on the ROS Noetic platform. Enhanced with the powerful capabilities of the ROS Navigation Stack, Kitti demonstrates its autonomous navigation proficiency. Throughout my time as a research associate at the Daffodil Robotics Lab, I played an active role in advancing this project
Autonomous Navigation of Mobile Robot in complex environment with predetermined map (SLAM)
Autonomous navigation of turtlebot3 using simultaneous localization and mapping
Programming and control of Turtlebot3 waffle to perform SLAM in a prebuilt map in gazebo
Robotics Software Engineer Nanodegree Final Project
Final project of Udacity's RSND program
Second Assignment of Experimental Robotics Laboratory regarding the usage of ROSplan Framework, Autonomous Navigation and SLAM-algorithms to control of the ROSbot movement based on the detection of Aruco markers in the environment.
Use ontologycal map to control robot behavior (manipulator & base) in world
An robot that uses SLAM and Adaptive MonteCarlo Localization algorythms to move around the Gazeboo enviroment in three diffrent modes.