Your English writing platform
Discover LudwigExact(17)
Mobile robot localization consists in estimation of robot pose by using real-time measurements.
This article addresses the problem of mobile robot localization using Ultra-Wide-Band (UWB) range measurements.
Markov localization and its variants are widely used for mobile robot localization.
In this paper, we propose a novel approach for mobile robot localization from images.
We detail an example implementation using Kalman filter data fusion for mobile robot localization.
Monte Carlo localization is a powerful and popular approach in mobile robot localization.
Similar(43)
This paper proposes a novel multi-component information-equalized extended strong tracking filtering (MIST) method for mobile robot global localization.
Mobile robot global localization aims to determine the robot's pose in a known environment in the absence of the robot's initial pose information.
This paper investigates a mobile robot self-localization system based on fiducial markers which are placed on the ceiling.
This paper presents a new algorithm for fast mobile robot self-localization in structured indoor environments based on geometrical and analytical matching, GEMA2.
This paper deals with the validation of topological maps of an environment by an active agent (such as a mobile robot), and the localization of an agent in a given map.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com