Localization forms the heart of various autonomous mobile robots. For efficient navigation,
these robots need to adopt effective localization strategy. This paper, presents a …

As one of the most important issues in the field of mobile robotics, self-localization allows a
mobile robot to identify and keep track of its own position and orientation as the robot moves …

Approximate Bayesian computation (ABC) is a simulation-based method for estimating the
posterior distribution of the parameters of a model. The ABC approach is instrumental when …

In this chapter we present the technical details behind several algorithms for performing
likelihood-free inference. The algorithms vary along a number of dimensions, which makes …

A current trend in robotics is fusing different types of sensors having different characteristics
to improve the performance of a robot system and also benefit from the reduced cost of …

Inertial Navigation Systems (INS) consist of accelerometers, gyroscopes and a processor
that generates position and orientation solutions by integrating the specific forces and …

Localization is fundamental to autonomous operation of the mobile robot. A particle filter
(PF) is widely used in mobile robot localization. However, the robot localization based PF …

The aim of this paper is to propose an algorithm for particle filter which will overcome its
problem of particle impoverishment. Our approach embed cuckoo search via levy flight …

Pedestrian navigation has received significant attention in the last few years due to potential
development in the smartphones' technologies. Todays, most smartphones, tablets, and …

GPS localization has always been the go-to method for localizing mobile robots in outdoor
environments. However, in GPS denied environments such as urban canyons, LTE …