Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …

Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. In the last two decades, LiDAR …

By approximating posterior distributions with weighted samples, particle filters (PFs) provide
an efficient mechanism for solving non-linear sequential state estimation problems. While …

In the Mobile Robotics domain, the ability of robots to locate themselves is one of the most
important events. By locating, mobile robots can obtain information about the environment …

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

Localization plays a vital role in the mobile robot navigation system and is a fundamental
capability for autonomous movement. In an indoor environment, the current mainstream …

This paper describes a method of single-shot global localization based on graph-theoretic
matching of instances between a query and a prior map. The proposed framework employs …

Omnidirectional planar robots are common these days due to their high mobility, for example
in human–robot interactions. The motion of such mechanisms is based on specially …

Self-assessment rules play an essential role in safe and effective real-world robotic
applications, which verify the feasibility of the selected action before actual execution. But …

This paper presents a method for 3D robot localization in an airport environment using an
enhanced adaptive Monte Carlo localization algorithm with sensor input from a multi-beam …