Computer Vision based autonomous robot navigation has caught the attention of many researchers because of its huge potential in various industrial and social applications. This paper focuses on various approaches used to detect road region which is fundamental requirement in applications like intelligent vehicles, lane detection and tracking and driver assistance systems. Broadly speaking techn...

The progress of artificial intelligence techniques, particularly decisional mechanisms, has allowed reactive systems to become more autonomous. This allows new applications in domains such as service robotics in which failures can lead to human injury or death, or financial loss. To ensure safety of such systems, we propose in this paper a process, based on a HAZOP/UML risk analysis, to elicit ...

As visual connectivity improves, an opportunity to enrich and rethink the place of learning design in online and distance education is presenting itself. The opportunity is derived from the increasing scope for personalised synchronous interaction which has been missing in computer mediated communications (CMC) and previous generations of distance education. This paper presents a model which di...

We reviewed the findings of 35 experimental studies of hypermedia use in educational tasks which emphasized quantitative, empirical methods to assess learning outcomes. The review found three broad themes in the literature: studies of learner comprehension compared across hypermedia and between other media; effects on learning outcome of the increased learner control offered users in hypermedia...

We are developing and annotating a learner corpus of Hungarian, composed of student journals from three different proficiency levels written at Indiana University. Our annotation marks learner errors that are of different linguistic categories, including phonology, morphology, and syntax, but defining the annotation for an agglutinative language presents several issues. First, we must adapt an ...

We investigate how an autonomous humanoid robot with an initially inaccurate binocular vision system can learn to correct inconsistencies in its understanding of distance using information and resources that might be available to a human infant. We defined a consistent depth estimator as a Euclidean distance metric where the unit of measurement is determined autonomously. We found that an error...

Here in this paper we present a snake robot which can autonomously change its gait depending on the terrain. Also we present the design and construction details for the same. Here a custom simulator for the robot and an API for the same was developed which reduced the design and development time. For controlling the Snake robot manually a data glove using accelerometers was developed. The Snake...

Autonomous cooperation as an organizational principle is a promising approach for logistics service providers to increase their strategic flexibility. This paper discusses effects that can result from an increase of the amplitude of behavioral options as well as the velocity of behavioral reactions of logistics companies on the components of their underlying business models: The customer value ...

Autonomous robotic systems need an equipment like a human eye for their movement. In this study a 3D laser scanner has been designed and implemented for those autonomous robotic systems. In general 3D laser scanners are using 2 dimension laser range finders that are moving on one-axis (1D) to generate the model. In this study, the model has been obtained by a one-dimensional laser range finder ...

This work presents the vision-based system for detecting pedestrians in road environments implemented on the ARGO prototype vehicle developed by the University of Parma. The system is aimed at the localization of pedestrians in various poses, positions and clothing, and is not limited to moving people. Initially, attentive vision techniques relying on the search for specific characteristics of ...