Unmanned operating system is applied to various fields. The disadvantages of the single unmanned system, such as its own limitations, poor flexibility, poor ability, low efficiency, cannot be overcome, as the complexity of the tasks continue to increase. As a result, the cooperative operation system of multi-unmanned platforms is gradually regarded as the main trend of the development of unmann...

Rapid present development of unmanned aerial vehicles is rather unstructured. Starting from general systems theory we formulate classification of unmanned aerial vehicles (UAVs) that properly groups diverse produced unmanned aerial vehicles, along with their currently unproduced, yet possible types. First we structure the context of applications of UAVs using systems thinking. Secondly, we divi...

Introduction Unmanned air systems (UAS) have been growing in popularity during the past 10 to 15 years. In 2001 the Pentagon had less than 50 unmanned aircraft and by 2012 had over 7,500 [1]. The Department of Defense has also shown more interest in unmanned aircraft by providing $6.0 billion in 2011 [2, 3]. UAS technology has not been growing within the United States territory as quickly due t...

Constrained by the satellites orbits, Satellite Remote Sensing is difficult to achieve timeliness requirements. General aerial manned aircraft Remote Sensing is always delayed by the bad weather. Compared with Unmanned aerial vehicles, unmanned Airship can fly more lower and slower and you can get more clearer image. So it is more suitable for large scale mapping and other engineering requireme...

Highly imperfect, inconsistent information and incomplete a priori knowledge introduce uncertainty in sensor-centric unmanned navigation systems. Understanding and quantifying uncertainty yields a measure of useful information that plays a critical role in several robotic navigation tasks such as sensor fusion, mapping, localization, path planning, and control. In this paper, within a probabili...

In this work, an adaptive critic-based neuro-fuzzy is presented for an unmanned bicycle. The only information available for the critic agent is the system feedback which is interpreted as the last action the controller has performed in the previous state. The signal produced by the critic agent is used alongside the back propagation of error algorithm to tune online conclusion parts of the fuzz...

This paper introduces our robotic system named UGAV (Unmanned Ground-Air Vehicle) consisting of two semi-autonomous robot platforms, an Unmanned Ground Vehicle (UGV) and an Unmanned Aerial Vehicles (UAV). The paper focuses on three topics of the inspection with the combined UGV and UAV: (A) teleoperated control by means of cell or smart phones with a new concept of automatic configuration of th...

We have constructed a 3D photoionisation model of a planetary nebula (PN) similar in structure to NGC 7009 with its outer pair of knots (also known as FLIERs –fast, low-ionization emission regions). The work is motivated by the fact that the strong [N ii]λ6583 line emission from FLIERs in many planetary nebulae has been attributed to a significant local overabundance of nitrogen. We explore the...

This paper introduces our robotic system named UGAV (Unmanned Ground-Air Vehicle) consisting of two semi-autonomous robot platforms, an Unmanned Ground Vehicle (UGV) and an Unmanned Aerial Vehicles (UAV). The paper focuses on three topics of the inspection with the combined UGV and UAV: (A) teleoperated control by means of cell or smart phones with a new concept of automatic configuration of th...

This paper presents a tutorial-level introduction to the technical aspects of unmanned autonomous systems. We emphasize a system engineering perspective on the conceptual design and integration of both the components used in unmanned systems, including the locomotion, sensors, and computing systems needed to provide inherent autonomy capability, and the algorithms and architectures needed to en...