Robust self-localization and repositioning strategies are essential capabilities for robots
operating in highly dynamic environments. Environments are considered highly dynamic, if …

Autonomous guided vehicles are becoming extremely important in the mining industry. The
underground environment is unique and complex in that the lighting conditions are poor, the …

In this paper we discuss landmark based absolute localization of tiny autonomous mobile
robots in a known environment. Landmark features are naturally occurring as it is not …

We present a single vision-based, self-localization method for autonomous mobile robots in
a known, indoor environment. This absolute localization method is landmark assisted …

We present a stereo vision based global self-localization strategy for tiny autonomous
mobile robots in a well-known dynamic environment. Global localization is required for an …

In this paper, a randomized method for detecting multiple ellipses based on the least square
approach is presented. The main concept used is that we first randomly select three edge …

This article offers a literature review of goalkeeper robots in the context of the
RoboCupSoccer competition. The latter is one of the various league categories hosted by …

We investigate the decision-making and behavior of robotic biped goalkeepers, applied to
the RoboCup 3D Soccer Simulation League. We introduce two approaches to the …

A novel detection and model analysis of circular feature with error compensation is
addressed in this paper for robot vision. We use an efficient method of fitting ellipses to data …

In the last decade competitions proved to be a very efficient way of encouraging researchers
to advance the state of the art in different research fields in artificial intelligence. In this paper …