As researchers have pushed the limits of what can be accomplished by a single robot
operating in a known or unknown environment, a greater emphasis has been placed on the …

Robust estimation of vehicle sideslip angle is essential for stability control applications.
However, the direct measurement of sideslip angle is expensive for production vehicles …

This article addresses the problem of determining the location of pallets carried by forklifts
inside a warehouse, which are recognized thanks to an onboard Radio Frequency …

In the indoor environment, variation of the magnetic field is caused by building structures,
and magnetic field map navigation is based on this feature. In order to estimate position …

This paper presents a Kalman filter (KF)-integrated optical flow method to measure the
velocity of mobile robots using a downward-looking camera. Tests conducted earlier by the …

Robots that operate alongside or cooperatively with humans are envisioned as the next
generation of robotics. Toward this vision, we present the first mobile robot system designed …

The accuracy of pose estimation from feature-based Visual Odometry (VO) algorithms is
affected by several factors such as lighting conditions and outliers in the matched features …

The mobile robot localization methodologies in common use at present have been
introduced. A localization algorithm based on extended Kalman filter (EKF) has been …

The enhancement of accuracy remains a significant concern in state estimation for field
mobile robots. This paper introduces a novel sensor fusion method to refine the accuracy of …

In this paper, a new localization system utilizing afocal optical flow sensor (AOFS) based
sensor fusion for indoor service robots in low luminance and slippery environment is …