This project presents a mobile robot system for solving the simultaneous localization and mapping (SLAM) problem, a key issue for autonomous navigation in unknown environments. The considered scenario is that of a mobile robot using range scans, provided by a 2D LiDAR, to update a map of the environment and simultaneously estimate its position and orientation within the map. Experimental tests performed within a real-world indoor environment demonstrate the performance of the proposed SLAM mobile robot system.The mobile robot system can be easily modified to be a 3D SLAM system based on RGB-D camera
Simultaneous Localization and Mapping (SLAM) is a process of building a map of an unknown environmen...
Rescue robot systems operate in highly challenging environments characterized by rough, possibly unk...
One of the key issues that prevents creation of a truly autonomous mobile robot is the simultaneous ...
This paper presents an algorithm for solving the simultaneous localization and map building (SLAM) p...
This study presents an application of LiDAR sensor for 2D mapping construction in an unknown environ...
Positioning mobile systems with high accuracy is a prerequisite for intelligent autonomous behavior,...
This report describes the use of a 2D LiDAR to navigate and map its surrounding environments. The 2D...
This paper describe design and implementation of SLAM algorithm for selflocalization and mapping in ...
This paper attempts to uncover one possible method for the IMR (indoor mobile robot) to perform indo...
In this article, we propose a new approach to addressing the issue of active SLAM. In this design, w...
This paper investigates simultaneous localization and mapping (SLAM) problem by exploiting the Micro...
Simultaenous Localization and Mapping (SLAM) is a technique used for an autonomous robot to create a...
This thesis deals with the design of a mobile robotic platform with the ability to build a map with ...
This paper presents the implementation of a simultaneous localization and mapping (SLAM) algorithm f...
In order to improve the autonomy of construction robots, a Simultaneous Localization and Mapping (SL...
Simultaneous Localization and Mapping (SLAM) is a process of building a map of an unknown environmen...
Rescue robot systems operate in highly challenging environments characterized by rough, possibly unk...
One of the key issues that prevents creation of a truly autonomous mobile robot is the simultaneous ...
This paper presents an algorithm for solving the simultaneous localization and map building (SLAM) p...
This study presents an application of LiDAR sensor for 2D mapping construction in an unknown environ...
Positioning mobile systems with high accuracy is a prerequisite for intelligent autonomous behavior,...
This report describes the use of a 2D LiDAR to navigate and map its surrounding environments. The 2D...
This paper describe design and implementation of SLAM algorithm for selflocalization and mapping in ...
This paper attempts to uncover one possible method for the IMR (indoor mobile robot) to perform indo...
In this article, we propose a new approach to addressing the issue of active SLAM. In this design, w...
This paper investigates simultaneous localization and mapping (SLAM) problem by exploiting the Micro...
Simultaenous Localization and Mapping (SLAM) is a technique used for an autonomous robot to create a...
This thesis deals with the design of a mobile robotic platform with the ability to build a map with ...
This paper presents the implementation of a simultaneous localization and mapping (SLAM) algorithm f...
In order to improve the autonomy of construction robots, a Simultaneous Localization and Mapping (SL...
Simultaneous Localization and Mapping (SLAM) is a process of building a map of an unknown environmen...
Rescue robot systems operate in highly challenging environments characterized by rough, possibly unk...
One of the key issues that prevents creation of a truly autonomous mobile robot is the simultaneous ...