Abstract The Adaptive Monte Carlo Localization (AMCL) is a common technique for mobile
robot localization problem. However, AMCL performs poorly on localization when robot …

Robot localisation is predominantly resolved via parametric or non-parametric probabilistic
methods. The particle filter, the most common non-parametric approach, is a Monte Carlo …

The objective of this study is improving the location estimate of a mobile robot capable of
motion on a plane and mounted with a conventional 2D LIDAR sensor, given an initial guess …

In this article a real-time method is proposed that reduces the pose estimate error for robots
capable of motion on the 2D plane. The solution that the method provides addresses the …

ABSTRACT The adaptive Monte Carlo localization (AMCL) algorithm is commonly used for
localization tasks for automated mobile robots (AMRs). However, when AMRs move to a …

Robot localization has always been a significant concern in the robotic field. This paper
presents robot localization performance for a ROS-based differential platform using four …

The research on the map construction of pipeline environment is of great significance for the
location of pipeline network, pipeline network planning and pipeline maintenance. It is an …

(57) ABSTRACT A method including receiving an audio scene including at least one source
captured using at least one near field microphone and at least one far field microphone. The …

In this thesis, a system for autonomous navigation using the Microsoft Kinect sensor and the
utility function (UF) method for decision-making, has been developed. In the UF method an …

A method including receiving an audio scene including at least one source captured using
at least one near field microphone and at least one far field microphone. The method …