This paper presents a review and comparison of the common 2D SLAM (Simultaneous
Localization and Map**) systems in an indoor static environment, by utilizing the ROS …

With the emerging interest in the autonomous driving level at 4 and 5 comes a necessity to
provide accurate and versatile frameworks to evaluate the algorithms used in autonomous …

One of the most challenging topics in robotics is simultaneous localization and map**
(SLAM) in the indoor environments. Due to the fact that Global Navigation Satellite Systems …

Simultaneous localization and map** (SLAM) is an active localization method for
Autonomous Underwater Vehicle (AUV), and it can mainly be used in unknown and complex …

Autoclaved lightweight concrete (ALC) wall panels are widely used in building envelope
structures. Due to the limitations of their sizes and architectural environment, installing ALC …

The safe management of radiation sources and wastes is one of the most important
elements in operating nuclear power plants (NPPs). Safe management requires periodically …

The Mobile Map** System (MMS) plays a crucial role in generating accurate 3D maps for
a wide range of applications. However, traditional MMS that utilizes tilted LiDAR (light …

Environmental map** serves as a crucial element in Simultaneous Localization and
Map** (SLAM) algorithms, playing a pivotal role in ensuring the accurate representation …

A household cleaning robot is designed to help people to complete the swee** work of full
coverage of family ground. High resolution as-built floor plans are useful because the robot …

In this paper, the mobile robot position fusion algorithm is inaccurate. There is a delay, and
the map-construction accuracy is not high; an improvement method is proposed. First, the …