This paper presents a novel approach based on the particle swarm optimization (PSO) for
globally localizing a mobile robot with a single laser scan, under the assumption that the …

In this paper, we propose an extended Kalman filter (EKF)-based simultaneous localization
and mapping (SLAM) method using laser corner-pattern matching for mobile robots. SLAM …

This paper presents a novel qualitative scan matching approach based on the point cluster
representation of laser scans for the coordination of mobile robots in indoor environments …

In this paper, we propose an extended Kalman filter (EKF)-based simultaneous localization
and mapping (SLAM) method using laser corner pattern matching for mobile robots. SLAM is …

In this paper we analyze hybrid scan matching algorithms and we test their performances in
typical mobile applications. Since the genetic algorithm is robust but not very accurate, and …

The exploration for better navigational algorithms that allow robots to move in the
environment is one of the main fields of research in Robotics. In the literature, many …

En este trabajo se va a desarrollar un método de segmentación de scans laser con el
objetivo de poder estimar circunferencias que puedan aparecer en dichas observaciones …

The method for range scan segmentation described in a previous paper titled “Improving
area center robot navigation using a novel range scan segmentation method”, by some …

In this paper, we propose an extended Kalman filter (EKF)-based simultaneous localization
and mapping (SLAM) method using laser corner pattern matching for mobile robots. SLAM is …

Insects are capable of agile pursuit of small targets while flying in complex cluttered
environments. Additionally, insects are able to discern a moving background from smaller …