This paper presents a review of the application of neuro-fuzzy systems (NFS) in business on
the basis of the research articles issued in various reputed international journals and …

Accurate localization is crucial in the navigation of mobile robots. However, in other
circumstances, single-sensor localization faces different challenges, including software and …

Heavy-duty vehicles such as tractors, bulldozers, certain construction and municipal
vehicles, soil millers, forestry machinery etc. have a high demand for propulsion force and …

Extended Kalman filter is well-known as a popular solution to the simultaneous localization
and mapping problem for mobile robot platforms or vehicles. In this article, the development …

This paper presents the development of a Kalman Filter with Neuro-Fuzzy adaptation (KF-
NFA) which is applied in attitude estimation, relying on information derived from triaxial …

Mine rescue robots play a vital role during rescues in underground mine disasters. In this
paper, we propose a new navigation method by using diverse-sensor data fusion with an …

This paper presents a survey of the application-based research on neuro-fuzzy systems
(NFS) in business on account of the research articles published in various reputed …

Purpose Estimating the pose–position and orientation–of a moving object such as a robot is
a necessary task for many applications, eg, robot navigation control, environment mapping …

The basic requirement of mobile robot localization is to know the information about its
position and direction. The extended Kalman filter is an excellent tool to estimate the robot's …

The vehicular ad-hoc network (VANET) is subject to various attacks because of its dynamic
nature and ephemeral character. In VANET, vehicles communicate with each other for safety …