This paper introduces a robot system that is designed to assist postal workers by carrying
heavy packages in a complex urban environment such as apartment complex. Since most of …

We present a robot localization system using biologically inspired vision. Our system models
two extensively studied human visual capabilities:(1) extracting the ldquogistrdquo of a …

This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban
arterials based on the information of connected and Bluetooth equipped vehicles. Online …

In this paper, an optimization-based adaptive Kalman filtering method is proposed. The
method produces an estimate of the process noise covariance matrix Q by solving an …

Localization is one of the most difficult and costly problems in mobile robotics. To avoid this
problem, this paper presents a new controller for the trajectory tracking of nonholonomic …

In this paper, we analyzed the accuracy and precision of AprilTag as a visual fiducial marker
in detail. We have analyzed error propagation along two horizontal axes along with the …

This chapter describes one of the major challenges in technology advancement of Wireless
Sensor Networks (WSNs), ie, Localization in WSNs. In recent years, sensor node …

In this article, we have reviewed the available positioning, localization and navigation
techniques for mobile robots. Different localization techniques based on diverse …

This paper presents a sensor fusion framework that improves the localization of mobile
robots with limited computational resources. It employs an event based Kalman Filter to …

This paper presents a novel and simple adaptive algorithm for estimating the position of a
mobile robot with high accuracy in an unknown and unstructured environment by fusing …