This article proposes a new method to detect the kidnapped robot problem event in Monte
Carlo localization. The method is designed in such a manner that it can provide accurate …

Robot navigation is a complex process that involves real-time localization, obstacle
avoidance, map update, control, and path planning. Thus, it is also a computationally …

Hitchhiking is a means of transportation gained by asking other people for a (free) ride. We
developed a multi-robot system which is the first of its kind to incorporate hitchhiking in …

This paper proposes a new method to detect the kidnapped robot problem event in Monte
Carlo Localization. The method is designed such that it can provide accurate detection in …

We present a deep-learning-based strategy that only uses a 2D LiDAR sensor to solve the
kidnapped robot problem in similar indoor environments. First, we converted a set of 2D …

This paper describes an algorithm for localization of a robot which can efficiently estimate
robot in 6 degrees-offreedom (DoF) pose which consist of position and orientation with large …

In this paper, we classify different approaches, or architectures, for implementing high-
integrity, lidar-based positioning for road vehicles. Our emphasis is on analytical, geometry …

This work proposes an analysis of the earliest indoor localization techniques based on
recurrent neural networks (RNN) like Gated Recurrent Unit (GRU) and Long-Short Term …

In this research, we address the kidnapped robot problem, a fundamental localization
problem where a robot has been carried to an arbitrary unknown location for which no prior …

In this paper, we propose an algorithm for kidnapped robot problem based on Monte Carlo
localization in known map using laser 360°, and initial sample in all global localization. We …