State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …

Continued great efforts have been dedicated toward high-quality trajectory generation
based on optimization methods; however, most of them do not suitably and effectively …

The developments in sensor technology, information processing, computer science, and
artificial intelligence significantly improved robots' autonomy. Robots' external perception …

Bluetooth Low Energy (BLE) enabled iBeacon is a low-power device and is suitable for
many proximity and location-based applications. Micro-localization refers to the phenomena …

Middle Size League (MSL) is a division of soccer robot in the Robocup event. The research
area of the robot focuses more on the ball detection and the individual capabilities of the …

Obstacle detection and navigation of dynamic environments is a challenge in mobile
robotics. To address this challenge, this paper presents an efficient sensor fusion …

Tour guide system, as referred by the name, is a system used for assisting visitors during a
tour of a certain place. Increasing tour efficiency while minimizing resources required has …

This paper presents a hierarchical framework for managing the sampling distribution of a
particle filter (PF) that estimates the global positions of mobile robots in a large‐scale area …

Localization is an important process in navigation systems. In this stage, the robot gathers
the necessary data to navigate safely and reach its destination. This paper presents a robust …

Reducing the workforce using robotic applications has been increasingly demanding in
several industries. Autonomous Mobile Robots (AMRs) with capabilities to continuously …