How to provide a low-cost but accurate localization solution for the indoor mobile robots are
essential in many Internet of Things applications, such as smart home and asset tracking. To …

In indoor robot localization by using ultra-wideband (UWB), the extended Kalman filter (EKF)-
based algorithms suffer from the colored measurement noise (CMN) that degrades the …

Abstract The Extended Kalman Filter (EKF) has received abundant attention with the
growing demands for robotic localization. The EKF algorithm is more realistic in non-linear …

In order to avoid the problem of inaccurate positioning of single indoor sensor, an adaptive
federated Kalman filter (AFKF) algorithm is proposed in this paper. According to the error …

With the rapid development of robotics, miniaturized and inexpensive robots have gradually
entered the public's field of vision. Smartphone-based robots have the potential to provide …

The range-based localization method is widely used in wireless sensor localization systems.
Many existing localization algorithms are unbiased estimators. However, the estimation …

Indoor localization systems using WiFi received signal strength (RSS) or pedestrian dead
reckoning (PDR) both have their limitations, such as the RSS fluctuation and the …

The demand of indoor localization has recently grown quickly in industries. In general, a
localization system is required to be reliable, fast, and have high accuracy. In this paper, the …

In this paper, an AEKF algorithm is used to localize a mobile robot equipped with eight
Polaroid sonars in an indoor structured environment. The system state equation and sonar …

Mobile robot localization has attracted substantial consideration from the scientists during
the last two decades. Mobile robot localization is the basics of successful navigation in a …